Job Summary: 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 transparent 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.

📌 AI Architect (Bengaluru)
🏢 Tenarai
📍 Bengaluru