**** Agencies are welcome to apply, but put your GenAI solutions architect on the very first interview call. Not a salesperson who then hands off **** We are an AWS partner company focussed solely on Data & AI implementation work. We are specifically looking for a GenAI Solutions Architect to lead pre-sales engagements with customers. Typical duties include: 1/ Executing pre-sales discovery calls with customers 2/ Demoing our proprietary production GenAI demo environments and mapping customer use-cases 3/ Performing deep GenAI assessments and helping provide roadmap for implementation and planning 4/ Compile Statement of Work for customer projects We have a number of tools that will assist in this process to ensure compliance with our patterns and standards. The ideal candidate should have at least 3 yrs of hands on GenAI implementations, understanding of RAG, MCP, bedrock, agentcore experience, strands/langchain experience, and the ability to clearly understand business needs and articulate/map out to technical implementations. Our interview process is unique since this is a LONG running engagement: Step 1: Interview with a technical executive Step 2: Interview with a Sr. technical engineer Step 3: After NDA is signed, train on one of our IP environment (5 hr commitment from your side, but likely faster if you are already familiar with GenAI & AWS) Step 4: Present to a panel on the concept. This is where we evaluate your ability to present what you have learned and earn trust, similar to how you would be doing customer facing.

We are looking for a U.S.-based Field CTO / Solutions Architect to support our growing AI, cloud, DevOps, and enterprise software consulting business. This is a client-facing technical leadership role. We need someone who can join customer calls, help shape technical solutions, support proposals and SOWs, guide delivery teams, and represent the company with a strong executive-level technical presence. The role requires core availability Monday through Thursday from 7:00 AM to 2:00 PM Pacific Time. Compensation is a $3,000/month base retainer for that core availability window. Additional approved work outside the core schedule may be paid at $30/hour or structured as separate project milestones. Responsibilities include: Join customer and partner calls as a senior technical representative Help translate business requirements into technical architecture Support technical discovery, proposals, SOWs, POCs, and implementation planning Review cloud, AI, DevOps, data, and application architecture decisions Coordinate with developers, engineers, and delivery resources Identify risks, blockers, dependencies, and security considerations Help prepare demos, technical roadmaps, and client-facing recommendations Support sales conversations with credible technical guidance Help us convert strategic opportunities into executable delivery plans Ideal experience: U.S.-based Strong client-facing communication skills Experience with AWS, Google Cloud, Azure, or multi-cloud environments Experience with AI, LLMs, DevOps, data platforms, or enterprise applications Comfortable working with executives, engineers, and delivery teams Ability to write clear technical summaries, scopes, and recommendations Consulting, agency, MSP, startup, or enterprise services experience preferred This is intended to be a long-term role that can grow with the company. We are also open to bonus opportunities tied to collected revenue milestones, major client wins, and successful support of strategic deals. Please include a brief summary of your relevant Field CTO, Solutions Architect, cloud, AI, DevOps, or client-facing technical leadership experience.

We are seeking a highly experienced AI Solutions Architect / AI Agent Developer who has already built production-ready AI agents and can demonstrate previous work. The first engagement will be to provide a live demonstration of AI agents and discuss technical approaches for future client implementations. Successful candidates will become our preferred development partner for future AI projects.Required Experience You must have experience building AI agents using technologies such as: OpenAI APIs Anthropic Claude APIs Retrieval-Augmented Generation (RAG) LangChain or LangGraph Python n8n or Make.com Vector databases MCP (Model Context Protocol) integrations API integrations Microsoft 365 integration SharePoint integration Document automation OCR and PDF processing Database design Secure authentication and authorization Cloud deployment (Azure or AWS preferred)Preferred Experience Experience building AI solutions for: Law firms Construction companies Real estate Logistics and trucking Manufacturing Professional service firms Experience with document generation, contract review, client intake, workflow automation, dashboards, and internal knowledge assistants is highly desirable.Initial Engagement The first phase will include: A live demonstration of AI agents you have already built. Discussion of AI architecture and best practices. Review of our business model. Recommendations for building reusable AI frameworks for our clients. Technical planning for future projects.We value developers who: Think like business consultants, not just programmers. Communicate well with non-technical clients. Care about security and data privacy. Write clean, maintainable code. Can recommend the best technical approach rather than simply taking instructions. Are interested in building a long-term partnership.Please Include With Your Proposal A brief introduction about yourself. Links to AI projects you have built. A short video or live demo of an AI agent (preferred). Your favorite AI technology stack. Your availability. Your hourly rate. Your location and time zone. How many production AI agents you have successfully delivered. Why you believe you would be a good long-term partner.

Time GIS Pipelines (ArcGIS GeoEvent, ETL) Overview: Seeking a senior, U.S.-based Data Integration Architect to design and build the real-time and batch pipelines feeding an enterprise ArcGIS digital twin for a large infrastructure/port program. Native Esri delivery. Scope: ArcGIS GeoEvent Server pipelines; AIS / port community system feeds; ERP (SAP / Yardi) connectors; ETL automation; sub-15-minute refresh on time-sensitive layers; integration governance and data dictionary. Required: AWS Solutions Architect; ArcGIS GeoEvent Server administration; Azure Data Engineer; proven real-time/API/ETL integration at enterprise scale; U.S.-based (mandatory — no offshore); To apply: list your AWS/Azure/GeoEvent certifications with dates, and link two real-time data-integration projects you personally architected.

We're hiring a senior AI developer to build and deploy AI solutions for a fintech/credit-union platform. The work spans autonomous banking agents, fraud detection, credit scoring, and bill-pay/invoice automation — at the intersection of LLMs, cloud infrastructure, and financial-domain expertise, with security and compliance built in from the start. This is a long-term, ongoing engagement. What you'll do: AI agents & orchestration - Design, build, and deploy multi-agent systems using Amazon Bedrock Agents, LangChain, and related frameworks - Architect agentic workflows for core banking use cases: credit scoring, fraud detection, bill-pay automation, invoice management - Define agent personas, memory strategies, tool-use patterns, and escalation paths for production banking agents LLM engineering - Fine-tune, prompt-engineer, and evaluate LLMs for financial-domain tasks - Build RAG pipelines over credit-union knowledge bases, policy docs, and member data - Implement guardrails, content filtering, and compliance checks for safe, regulated outputs - Monitor performance, hallucination rates, and latency against SLAs Cloud infrastructure (AWS & Azure) - Architect and manage AI/ML workloads on AWS (Bedrock, SageMaker, Lambda, S3, IAM, VPC) and Azure (OpenAI Service, Azure ML, AKS) - Design secure, cost-optimized environments compliant with NCUA, PCI-DSS, and SOC 2 - Implement infrastructure-as-code with Terraform or AWS CDK DevOps & MLOps - Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, CodePipeline, Azure DevOps) - Containerize services with Docker, orchestrate with Kubernetes (EKS/AKS) - Apply MLOps best practices: model versioning, A/B testing, canary deployments, automated rollback - Stand up observability with logging, tracing, and alerting Python development - Write clean, well-tested Python for AI pipelines, REST APIs, and data workflows - Build FastAPI/Flask microservices exposing agent capabilities to frontend and core banking systems - Integrate with financial data sources, core banking APIs, and third-party fintech services Banking applications - Build credit-scoring models using alternative data and explainable AI (XAI) - Develop real-time fraud detection with behavioral analytics, anomaly detection, and auto-decisioning - Create conversational agents for bill pay, account management, and member self-service - Automate invoice workflows: extraction, classification, approval routing, reconciliation - Partner with compliance/risk to keep AI decisions auditable, fair, and regulatory-compliant What you should have: - 5+ years software engineering; 3+ years in AI/ML or LLM engineering - 2+ years building AI for banking, credit unions, or financial services - Hands-on experience with Amazon Bedrock, LangChain, Python, AWS, and infrastructure-as-code - Working knowledge of NCUA, PCI-DSS, SOC 2, GLBA, and Fair Lending requirements - Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or related field Nice to have: - AWS or Azure AI/ML certifications - Open-source LLM experience (Llama, Mistral, Phi) and self-hosted inference (vLLM, Ollama) - Vector databases (Pinecone, OpenSearch, pgvector) - Graph-based fraud networks and graph ML - AI governance / responsible AI framework experience - Prior work at a credit union, community bank, or fintech lending platform To apply, please share: - Your resume highlighting AI and banking project experience - A brief note on your most impactful AI agent or LLM project in a financial-services context - Links to GitHub, portfolio, or published papers (optional but encouraged)

We are a husband-and-wife orthodontic practice (Ascend Orthodontics) based in Colorado, looking for an experienced AWS DevOps engineer to deploy our existing website and establish a fully HIPAA-compliant cloud infrastructure. The codebase is currently maintained across a local machine and a GitHub repository. The site has been built using Claude Code and is ready for deployment. We are not looking for any front-end development work — although oversite on current code would be appreciated. We need someone to take it across the finish line and set it up correctly on AWS. What we need: -Pull the existing codebase from GitHub and deploy it to AWS (EC2, Elastic Beanstalk, or equivalent — open to your recommendation based on our stack) -Configure a secure, production-ready environment including SSL/TLS certificates and custom domain setup -Set up HIPAA-compliant infrastructure including IAM roles and least-privilege access controls, encryption at rest and in transit, VPC network isolation, CloudTrail audit logging, and S3 bucket security policies -Ensure AWS services used are covered under a Business Associate Agreement (BAA) — we will execute the BAA with AWS directly, but the developer must be familiar with which services qualify -Configure basic monitoring and alerting via AWS CloudWatch -Deliver clean documentation of the architecture so we can maintain and hand off as needed What we're looking for in a candidate: -AWS Certified Solutions Architect (Associate or Professional) strongly preferred -Demonstrated experience deploying HIPAA-compliant infrastructure — please describe a specific healthcare project in your proposal -Comfortable working from an existing GitHub repo with minimal handholding -Strong communication and ability to explain compliance decisions in plain language -U.S.-based or U.S. time zone preferred given the compliance sensitivity Project type: Fixed scope, one-time engagement with potential for ongoing support To apply: Please briefly describe a HIPAA or healthcare-related AWS project you've completed, the services you used, and your approach to compliance documentation.

I want to build a private multi-model RAG-based Opportunity Intelligence Agent. It should support document ingestion, opportunity-specific workspaces, vector search, source citations, multi-model routing across OpenAI, Claude, Perplexity, and possibly DeepSeek, and generate strategic recommendations from both uploaded files and live web research. This is intended to become a reusable base agent capable of knowledge retrieval, web research, multi-model orchestration, document analysis, citation generation, and agent clonding and configuration. It will be used for analyzing & strategy development for project opportunities, responding to RFPs, and proposal assistance, as well as other applications.

We are a fast-growing technology advisory firm that helps mid-sized companies evaluate and select the best IT vendors for projects like: • Cloud infrastructure • Backup & disaster recovery • Cybersecurity • Network / SD-WAN • VoIP / UCaaS • Data center / colocation We do not deliver the services ourselves. We act as the client’s technical advisor and procurement concierge, helping them understand their requirements and selecting the best vendors. We are looking for a Solutions Architect / Technical Consultant who can lead technical discovery with clients. Your role will be to run requirements calls, diagnose technical needs, and translate those requirements into clear vendor specifications. This is not a support role and not an MSP job. This is a pre-sales technical advisor role. Responsibilities • Run technical discovery calls with clients • Identify infrastructure gaps and project needs • Translate requirements into vendor specifications • Recommend vendor categories and architectures • Assist in vendor evaluation and technical comparisons • Document findings and scope clearly You may have worked as: • Solutions Architect • Senior Systems Engineer • Pre-Sales Engineer • Cloud Architect • Network Architect • Technical Consultant Experience with several of the following is important: • Cloud platforms (AWS / Azure) • Networking / SD-WAN • Cybersecurity tools • Backup / disaster recovery • VoIP / UCaaS • Infrastructure architecture You must be able to: • Ask great technical questions • Quickly understand complex environments • Communicate clearly with non-technical executives • Strong spoken English is required. • You should be comfortable speaking with CIOs and IT Directors. Engagement • Part-time to start • 5–10 hours per week • Discovery calls scheduled in advance This role will likely grow into a long-term partnership. To apply Please send a Loom video answering the following: 1. A short description of your technical background 2. Your experience in client-facing technical roles 3. A brief example of a technical discovery call you have led

Technical Skills: Languages: PHP, Python, JavaScript, SQL Databases & Tools: MySQL, PostgreSQL, MongoDB DevOps & Infrastructure: AWS, Docker, Kubernetes, Terraform, CloudFormation Version Control & CI/CD: Git, GitHub Job Summary: We are seeking an experienced Senior Software Developer to join our team. In this role, you will design and develop robust integrations with CRM platforms, architect and optimize database solutions, and contribute to our cloud infrastructure as code initiatives. You will work with modern technologies including PHP, Python, SQL, and AWS while managing containerized applications, implementing CI/CD pipelines, and interfacing with third party development teams. This is a full-stack role bridging backend development with DevOps practices. Key Responsibilities: - Design, develop, and maintain CRM integrations with leading platforms such as Salesforce, HubSpot, and Actionstep - Architect and optimize database solutions, including schema design, indexing strategies, performance tuning, and backup strategies - Design and implement Infrastructure as Code (IaC) with AWS - Develop, deploy, and manage Docker containerized applications using Docker Compose and container orchestration tools - Write clean, maintainable code in Javascript, PHP and Python - Develop and execute complex SQL queries for data extraction, transformation, reporting, and ETL pipeline development - Configure and optimize AWS services including EC2, RDS, S3, VPC, security groups, and IAM policies - Implement and maintain CI/CD pipelines for automated testing, building, and deployment - Establish monitoring, logging, and alerting systems for production environments - Conduct code reviews and provide constructive feedback to team members - Troubleshoot and resolve production issues with minimal downtime, implementing reliability improvements Required Qualifications: - 7+ years of professional software development experience - Advanced proficiency in PHP, Javascript, & Python - Expert-level SQL knowledge with experience in relational database design, optimization, and data warehouse architecture - Proven experience developing CRM integrations with REST APIs. - Experience with version control systems (Git) and CI/CD pipelines - Hands-on experience with AWS services including EC2, RDS, S3, VPC, security groups, and IAM - Proficiency with Docker and container orchestration (Docker Compose, Kubernetes experience preferred) - Experience with Infrastructure as Code tools such as Terraform or CloudFormation - Knowledge of monitoring, logging, and alerting solutions (e.g., CloudWatch, ELK, Prometheus) - Preferred Qualifications - Experience with Actionstep - Experience designing and maintaining data warehouse solutions - Kubernetes experience for container orchestration at scale - Experience with serverless architectures (AWS Lambda) - Contribution to open-source projects - Bachelor's degree in Computer Science, Software Engineering, or related field

We are building a next-generation workflow automation platform that combines deterministic business rules, artificial intelligence, document intelligence, and human review workflows into a single operating system. This is not a traditional CRM project. Our vision is to develop a doctrine-driven platform where business rules serve as the system authority, AI serves as an analytical and drafting layer, and human reviewers serve as the final compliance checkpoint. We are seeking an experienced engineer or engineering partner who can help architect and build the platform from the ground up. Project Objectives The platform will: • Ingest and analyze large volumes of structured and unstructured documents • Extract data from reports, PDFs, and supporting documentation • Apply rule-based workflow logic • Generate AI-assisted recommendations and draft outputs • Maintain complete audit trails and workflow transparency • Route work through human review checkpoints • Support future deployment of local AI infrastructure for privacy and performance Core Architecture The system will be built around four primary layers: 1. Rules Engine * Deterministic business logic * Workflow orchestration * State management * Trigger and escalation logic * Audit tracking 2. AI Layer * Document analysis * Classification * Pattern detection * Summarization * Draft generation * Structured outputs 3. Local Processing Layer * OCR * Document parsing * Data extraction * Vector search * Local inference capabilities * Privacy-first processing 4. Human Review Layer * Quality assurance * Workflow approvals * Compliance review * Exception handling Initial Development Priorities Phase 1 • User authentication • Client record management • Document upload system • OCR and document extraction • Workflow engine • Rule-based status management • Review dashboard Phase 2 • AI-powered document analysis • Automated classification • Recommendation engine • Draft generation workflows • Response parsing Phase 3 • Local AI infrastructure • Vector database integration • Knowledge retrieval system • Multi-agent workflow orchestration • Advanced automation Desired Technical Experience Required • React / Next.js • Node.js, Python, or similar backend framework • PostgreSQL or equivalent relational database • REST APIs • Cloud infrastructure (AWS, Azure, or GCP) • Workflow automation systems • Document processing pipelines Preferred • OpenAI APIs • Anthropic APIs • Retrieval-Augmented Generation (RAG) • LangGraph, LangChain, or similar frameworks • Vector databases • OCR technologies • AI agent architectures • NVIDIA AI ecosystem • Local model deployment What We Are Looking For We are not looking for someone who simply builds forms and dashboards. We are looking for a builder who understands how to combine: • Rules engines • Artificial intelligence • Workflow automation • Human review systems • Scalable software architecture The ideal candidate enjoys solving complex business process problems and translating expert decision-making into software systems. Engagement Structure Open to: • Fractional CTO • Lead Architect • Senior Full-Stack Engineer • AI Systems Engineer • Development Agency • Long-term strategic technology partner To Apply Please provide: • Relevant project examples • Experience building workflow automation platforms • Experience with AI-powered applications • Technology stack recommendations • Estimated availability • Preferred engagement structure