Principal AI Architect

Responsibilities: Define end-to-end architecture for large AI programs including rollout, custom agent development, integration, security, governance, observability, and operations Set target-state architecture, guardrails, and decision frameworks aligned to business and engineering needs Lead AI discovery, readiness assessments, and prioritization of use cases based on value and feasibility Lead architecture workshops, prototypes, proofs of concept, and technical evaluations with clear success criteria Join solution calls and steer architecture on customer engagements, communicating options and roadmaps to technical and non-technical stakeholders Oversee adoption of Claude and other AI solutions, including security design, integration, and measurable outcomes Design and build custom agents and solutions using Anthropic APIs/SDKs; drive production releases and evolution Coordinate architects and leads to ensure quality, risk management, and alignment to client outcomes Establish measurable success criteria and use observability and adoption signals to optimize performance Manage relationships with Anthropic, OpenAI, and future partners; collaborate with AWS, Azure, GCP, Salesforce teams Mentor engineering teams and contribute to reusable assets, reference architectures, and standards Contribute thought leadership through workshops and client-facing artifacts Design AI solutions with identity, least-privilege access, data protection, human-in-the-loop controls, and auditable processes Address security, privacy, cost management, and governance requirements in AI deployments Support pre-sales activities with strategy, estimates, and executive conversations Shape commercially credible, technically solid solutions with cross-team collaboration

Key requirements: Bachelor's degree in Computer Science, Engineering, or related technical discipline 10+ years in enterprise technology (cloud, architecture, or professional services) with 5+ years leading complex architecture Hands-on experience with AWS, Azure, GCP, or Salesforce for enterprise clients 2+ years producing production generative AI/LLM solutions using Claude or similar frontier models Experience deploying Claude API/Code/Enterprise and Anthropic agent tooling; familiarity with Bedrock, Vertex AI, or Azure equivalents Strong competency in agent orchestration, memory/state management, RAG, vector/hybrid retrieval, prompt engineering, observability, and production AI operations Experience integrating AI/agent solutions with enterprise apps, APIs, data platforms, identity systems, and governance Proficiency in Python and at least one other language; CI/CD and infrastructure as code Proven track record leading large, multi-team programs and influencing executive stakeholders Excellent executive communication for technical and non-technical audiences Ability to travel up to 25% to client sites and work across time zones Executive communication Cross-functional leadership Mentoring and coaching Claude API/Claude for Enterprise Anthropic APIs/SDKs OpenAI technologies (desired)