AI Architect

Job description:

Looking for a hands-on AI Solution Architect to lead the design and delivery of advanced AI solutions and drive the organization's AI solutions roadmap. You will define the AI solutions roadmap, collaborate with cross-functional teams to identify opportunities, and architect scalable, impactful AI systems and ensure robust technical execution from concept to deployment.

Job Description:

Solution Architecture & Technical Leadership:

• Architect scalable, secure, production-grade Generative AI and Agentic AI solutions across enterprise use cases.
• Translate business problems and client requirements into solution architecture, technical designs, implementation plans, and engineering roadmaps.
• Define end-to-end architectures covering applications, AI agents, LLMs, data, knowledge, APIs, integration, security, observability, evaluation, and cloud infrastructure.
• Drive architecture decisions and technical trade-offs across build, buy, reuse, and platform approaches.
• Establish architecture patterns, engineering standards, guardrails, and reusable solution blueprints.
• Ensure solutions meet enterprise requirements for scalability, reliability, security, governance, performance, and maintainability.

Generative & Agentic AI:

• Design solutions leveraging LLMs, RAG, Graph RAG, multi-agent architectures, tool calling, MCP, context engineering, and AI orchestration frameworks.
• Architect agentic workflows where AI agents can reason, retrieve enterprise knowledge, interact with tools and systems, and execute business processes.
• Design enterprise knowledge architectures integrating structured and unstructured information.
• Define approaches for prompt engineering, retrieval optimization, reranking, evaluation, grounding, response governance, and hallucination mitigation.
• Evaluate emerging AI models, frameworks, tools, and architectural patterns and determine their applicability to enterprise solutions.

Tenarai Labs & Ignis Solution Engineering:

• Leverage and extend Ignis capabilities to accelerate solution development and client delivery.
• Architect solutions using capabilities across the Ignis ecosystem, including enterprise agentic execution, Enterprise Knowledge Graph, harness engineering, intelligence experiences, and data modernization.
• Identify opportunities to convert client-specific implementations into reusable assets, accelerators, reference architectures, components, and solution patterns for Tenarai Labs.
• Collaborate with Tenarai Labs engineering and platform teams to influence capability and product roadmaps based on real-world client requirements.
• Drive rapid prototyping and incubation of new AI solutions and transition successful prototypes into enterprise-grade implementations.

Client Discovery & Consulting:

• Lead technical discovery workshops with client business, architecture, data, engineering, and technology teams.
• Understand business objectives and identify opportunities where AI, agentic systems, data, and automation can create measurable business value.
• Develop solution approaches, architecture options, effort estimates, technical proposals, and implementation roadmaps.
• Present architecture and technical recommendations to client leadership and architecture stakeholders.
• Support pre-sales, solutioning, technical demonstrations, proposals, and client activation initiatives.

Engineering & Productionization:

• Guide teams through architecture, development, integration, testing, evaluation, deployment, and production rollout.
• Ensure AI prototypes and POCs have a clear path toward scalable, production-ready solutions.
• Define appropriate APIs, microservices, data pipelines, vector stores, knowledge layers, orchestration patterns, and integration mechanisms.
• Establish AI evaluation and observability approaches covering quality, latency, cost, reliability, safety, and business outcomes.
• Conduct architecture and code reviews and resolve complex technical challenges during implementation.

Technical Leadership & Mentoring:

• Provide technical leadership to AI engineers, solution engineers, data engineers, FDEs, and other multidisciplinary teams.
• Mentor engineers and architects on AI architecture, engineering practices, solution design, and production readiness.
• Facilitate knowledge sharing and contribute to architecture communities, reusable assets, technical playbooks, and engineering standards.
• Stay current with advances in AI and rapidly evaluate technologies that could strengthen Tenarai Labs and Ignis solutions.

Skills

AI, API, Architect, Architecture, Cloud, Deployment, Integration, LLM, MCP, Microservices, Observability, RAG, Security, Solution Architecture, Technical Design