AI Solution Architect Leader

Own and define

end to end AI solution architectures

spanning data platforms, AI/ML pipelines, GenAI/LLM stacks, cloud infrastructure, security, integration, and MLOps

Act as

design authority

for large scale, multi vendor AI programs, ensuring architectural coherence and compliance with enterprise, data, security, and regulatory standards

Lead delivery of AI solutions, directing internal teams and partners to meet performance, scalability, reliability, and responsible AI requirements

Translate business requirements into actionable AI designs, including model selection, orchestration patterns, human in the loop workflows, and system integrations

Chair AI architecture reviews and governance forums, communicating complex technical concepts effectively to executive and non technical stakeholders

Oversee AI solution quality, risks, and dependencies, including data readiness, model risk, technical debt, and ethical AI considerations

Originate and shape

AI led opportunities

across priority industries and strategic accounts

Lead AI solutioning for proposals, bids, and competitive pursuits

Act as a trusted advisor to client executives on

AI strategy, investment prioritization, and value realization

Represent the organization in client workshops, executive briefings, and selected thought leadership engagements

Build and scale the firm s

AI solution architecture capability

, including reference architectures, accelerators, and delivery playbooks

Deep expertise in

enterprise AI solution architecture

, including data platforms, ML engineering, GenAI/LLMs, cloud services, security, and MLOps

Proven ability to take AI solutions from

pilot to production at enterprise scale

Strong command of AI non functional requirements: performance, reliability, explainability, compliance, and cost optimization

Hands on experience with modern AI platforms, open source ML frameworks, vector databases, and orchestration/monitoring tools

Executive level communication and influencing skills, bridging business strategy and advanced AI engineering

Strong understanding of

responsible AI

, governance, and regulatory considerations