Senior Applied AI Architect

Req number:

R8010

Employment type:

Full time

Worksite flexibility:

Remote

Job Summary

CAI is hiring a Sr. Applied AI Architect to serve as the primary technical engine behind our applied AI delivery across all four strategic motions. This is a builder’s role at the intersection of deep technical execution and strategic advisory

Job Description

We are seeking a highly skilled and experienced Sr. Applied AI Architect to join our IT team. This position will be full-time, remote, and is a salaried position.

What You'll Do

• Lead technical design for agentic AI systems, LLM integrations, MCP-based orchestration, and multi-model workflows in internal and external delivery environments
• Own build-vs-buy decisions for AI tooling across use cases, working with the CTO organization and design partners
• Develop reusable architectural patterns, integration blueprints, and technical playbooks that scale across CAI’s delivery organization
• Drive technical POC development from internal initiatives through to client-ready case studies, architecture and implementation
• Serve as the technical lead and credibility anchor for AI solution conversations with executives, clients, and procurement stakeholders
• Work alongside functional and motion owners to determine whether and how AI applies, then own the technical approach and execution
• Pressure-test AI feasibility on CTO assessments, POC scoping, and motion-level AI roadmaps
• Mentor and develop junior AI technical staff; contribute to the Applied AI Delivery Team model
• Maintain deep, working knowledge of the enterprise AI landscape: LLMs (Anthropic Claude, OpenAI, Gemini), agentic frameworks, MCP architecture, Databricks, vector databases, and emerging tools
• Apply hands-on fluency across the full stack CAI deploys; AI/ML frameworks, integration patterns, API design, cloud platforms (AWS, Azure), and security controls relevant to commercial and public sector public sector
• Ensure architectural choices align with CAI’s governance standards, NIST AI framework, GovRAMP requirements, and client-specific compliance environments
• Bring an evidence-based perspective on AI capability and limitations to keep initiatives grounded, realistic, and defensible.
• Package internal AI delivery results into reusable inputs for client-ready case studies, RFP content, and competitive positioning. Build the technical artifacts that move work forward: solution designs, architecture diagrams, integration specs, feasibility assessments, and deployment guides

What You'll Need

Required

• 8-10+ years of experience in applied AI, enterprise software architecture, or AI/ML engineering with at least 3 years in a senior or lead role
• Demonstrated track record of designing and delivering production-grade AI solutions end-to-end; hands-on, not advisory
• Deep fluency with large language models, agentic AI frameworks, prompt engineering, and MCP or similar orchestration architectures
• Hands-on experience with enterprise AI platforms: Anthropic Claude, OpenAI, Databricks, Azure AI / OpenAI Service, AWS Bedrock, or equivalent
• Strong system design and integration architecture skills: APIs, data pipelines, event-driven systems, and cloud infrastructure
• Ability to operate credibly across technical depth (code environments, architecture review) and executive conversation
• Experience working in regulated or government-adjacent environments, with familiarity with FedRAMP, GovRAMP, NIST, or SOC 2 compliance requirements
• Strong communication skills: able to translate complex technical architecture into executive-ready artifacts and client-facing narratives
• Bachelor's degree in computer science, Engineering, or a related technical field required; master's or advanced degree preferred; or a related field required; or the equivalent combination of education, technical certifications or training, or work experience

Desired

• Experience delivering AI solutions in state and local government, public sector managed services, or workforce services environments
• Hands-on experience with Anthropic’s Model Context Protocol (MCP) and multi-agent orchestration frameworks (LangChain, AutoGen, CrewAI, or equivalent)
• Track record of building reusable AI architectural assets, patterns, blueprints, frameworks, that scale beyond a single engagement
• Experience contributing to AI governance frameworks, responsible AI posture, or client-facing compliance advisory
• Certifications in relevant platforms (AWS, Azure, Databricks, Google Cloud AI) or AI governance frameworks (ISACA, NIST AI RMF)
• Prior experience in a professional services or consulting delivery model with multiple concurrent client engagements.

Physical Demands

• Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards
• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc
• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor