{"id":4228314,"url":"https://alion.io/job/infinite-computer-solutions-senior-director-ai-solution-architect","title":"Senior Director, AI Solution Architect","company":{"id":1886342,"name":"Infinite Computer Solutions","domain":"infinite.com","url":"https://alion.io/company/infinite-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"BrassRing","truth_index":{"grade":"B","score":75,"open_postings":36,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Solutions","role_family":"Solutions","seniority":"head","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":20,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false}],"status":"live","first_seen_at":"2026-11-13T08:35:50Z","employer_posted_date":null,"last_verified_at":"2026-11-13T08:35:50Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Role: AI Solution Architect\n\nExperience: 20-25 Years\n\nRole Overview:\n\nInfinite is seeking an experienced AI Architect to join its AI Center of Excellence and play a pivotal role in architecting, building, and scaling the Infinite AI Platform. The ideal candidate will bring deep expertise in enterprise architecture, Generative AI, Agentic AI, and platform engineering, with a proven track record of building scalable, production-grade AI solutions.\n\nThis is a hands-on technical leadership role requiring strong architectural expertise, engineering depth, and the ability to translate emerging AI technologies into enterprise-ready capabilities.\n\nKey Responsibilities:\nAI Platform Architecture: Lead the architecture, design, and development of the Infinite AI Platform, ensuring scalability, modularity, security, and enterprise readiness.\nGenerative & Agentic AI: Architect LLM-based applications, RAG solutions, autonomous agents, multi-agent orchestration, and intelligent workflow automation.\nPlatform Engineering: Define technical frameworks, APIs, reusable components, integration patterns, and cloud-native architecture to accelerate AI platform development.\nEnterprise Integration: Design AI architectures that integrate seamlessly with enterprise applications, data platforms, cloud environments, and existing technology ecosystems.\nEngineering Leadership: Provide hands-on architectural guidance, resolve complex technical challenges, and drive engineering excellence from design through production.\nAI CoE Leadership: Collaborate with the core AI CoE team to establish technical standards, evaluate emerging technologies, mentor architects and engineers, and build differentiated AI capabilities.\n\nRequired Skills & Experience:\n20-25 years of experience in enterprise technology, with significant expertise in solution architecture, software engineering, and large-scale platform development.\nStrong hands-on experience with Generative AI, LLMs, Agentic AI, RAG, and multi-agent architectures.\nStrong understanding of Python, microservices, REST APIs, distributed systems, and cloud-native architecture.\nExpertise in AWS, Azure, or Google Cloud, along with containerization, Kubernetes, CI/CD, and MLOps/LLMOps.\nKnowledge of vector databases, model integration, AI orchestration, observability, security, and responsible AI practices.\nProven ability to architect and deliver complex enterprise platforms, lead technical teams, and drive solutions from concept to production.\n\nPreferred Qualifications:\nBachelor's or Master's degree in Computer Science, Engineering, or a related discipline.\nPrior experience as a Principal Architect, AI Architect, Chief Architect, or senior platform engineering leader.\nDemonstrated experience building enterprise AI platforms, SaaS products, or reusable technology frameworks.\n\nKey Expectations:\n\nThe successful candidate will be a core technical leader to the Infinite AI Platform, combining deep AI architecture expertise with hands-on engineering leadership to build scalable, secure, and differentiated enterprise AI capabilities.\nSkills\nAWS, Agentic AI, Azure, Generative AI, Google Cloud, LLM, LLMs, Python, 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