{"id":4297206,"url":"https://alion.io/job/tenarai-ai-architect","title":"AI Architect","company":{"id":861,"name":"Tenarai","domain":"tenarai.com","url":"https://alion.io/company/tenarai","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitify","truth_index":{"grade":"A","score":88,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Function Calling","optional":false},{"name":"GraphRAG","optional":false},{"name":"Hallucination","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false}],"status":"live","first_seen_at":"2026-11-14T01:35:45Z","employer_posted_date":null,"last_verified_at":"2026-11-14T01:35:45Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job description:\n\nLooking 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.\n\nJob Description:\n\nSolution Architecture & Technical Leadership:\nArchitect scalable, secure, production-grade Generative AI and Agentic AI solutions across enterprise use cases.\nTranslate business problems and client requirements into solution architecture, technical designs, implementation plans, and engineering roadmaps.\nDefine end-to-end architectures covering applications, AI agents, LLMs, data, knowledge, APIs, integration, security, observability, evaluation, and cloud infrastructure.\nDrive architecture decisions and technical trade-offs across build, buy, reuse, and platform approaches.\nEstablish architecture patterns, engineering standards, guardrails, and reusable solution blueprints.\nEnsure solutions meet enterprise requirements for scalability, reliability, security, governance, performance, and maintainability.\n\nGenerative & Agentic AI:\nDesign solutions leveraging LLMs, RAG, Graph RAG, multi-agent architectures, tool calling, MCP, context engineering, and AI orchestration frameworks.\nArchitect agentic workflows where AI agents can reason, retrieve enterprise knowledge, interact with tools and systems, and execute business processes.\nDesign enterprise knowledge architectures integrating structured and unstructured information.\nDefine approaches for prompt engineering, retrieval optimization, reranking, evaluation, grounding, response governance, and hallucination mitigation.\nEvaluate emerging AI models, frameworks, tools, and architectural patterns and determine their applicability to enterprise solutions.\n\nTenarai Labs & Ignis Solution Engineering:\nLeverage and extend Ignis capabilities to accelerate solution development and client delivery.\nArchitect solutions using capabilities across the Ignis ecosystem, including enterprise agentic execution, Enterprise Knowledge Graph, harness engineering, intelligence experiences, and data modernization.\nIdentify opportunities to convert client-specific implementations into reusable assets, accelerators, reference architectures, components, and solution patterns for Tenarai Labs.\nCollaborate with Tenarai Labs engineering and platform teams to influence capability and product roadmaps based on real-world client requirements.\nDrive rapid prototyping and incubation of new AI solutions and transition successful prototypes into enterprise-grade implementations.\n\nClient Discovery & Consulting:\nLead technical discovery workshops with client business, architecture, data, engineering, and technology teams.\nUnderstand business objectives and identify opportunities where AI, agentic systems, data, and automation can create measurable business value.\nDevelop solution approaches, architecture options, effort estimates, technical proposals, and implementation roadmaps.\nPresent architecture and technical recommendations to client leadership and architecture stakeholders.\nSupport pre-sales, solutioning, technical demonstrations, proposals, and client activation initiatives.\n\nEngineering & Productionization:\nGuide teams through architecture, development, integration, testing, evaluation, deployment, and production rollout.\nEnsure AI prototypes and POCs have a clear path toward scalable, production-ready solutions.\nDefine appropriate APIs, microservices, data pipelines, vector stores, knowledge layers, orchestration patterns, and integration mechanisms.\nEstablish AI evaluation and observability approaches covering quality, latency, cost, reliability, safety, and business outcomes.\nConduct architecture and code reviews and resolve complex technical challenges during implementation.\n\nTechnical Leadership & Mentoring:\nProvide technical leadership to AI engineers, solution engineers, data engineers, FDEs, and other multidisciplinary teams.\nMentor engineers and architects on AI architecture, engineering practices, solution design, and production readiness.\nFacilitate knowledge sharing and contribute to architecture communities, reusable assets, technical playbooks, and engineering standards.\nStay current with advances in AI and rapidly evaluate technologies that could strengthen Tenarai Labs and Ignis solutions.\nSkills\nAI, API, Architect, Architecture, Cloud, Deployment, Integration, LLM, MCP, Microservices, Observability, RAG, Security, Solution Architecture, Technical Design","description_format":"text","description_chars":4675,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software 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