{"id":2587549,"url":"https://alion.io/job/komandla-anusha-ai-architect","title":"AI Architect - GenAI/Agentic Systems","company":{"id":4433520,"name":"AnuVira Global Solutions","domain":"anuvira.com","url":"https://alion.io/company/komandla-anusha","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Indore, India","Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":71000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Hugging Face","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Tokenization","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-15T04:07:16Z","employer_posted_date":null,"last_verified_at":"2026-10-15T04:07:16Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Roles & Responsibilities : \n\nShape demand and executive conviction : \n\n- Lead discovery and architecture workshops with client business and technology leadership; set the agenda rather than respond to it.\n\n- Identify pain points, value levers, and high-impact AI opportunities, and sequence them into a pragmatic AI roadmap.\n\n- Translate ambiguous, complex client questions into solution hypotheses, target-state architecture, and a phased path to get there.\n\n- Build AI scenarios and value frameworks that illustrate meaningful business transformation, with measurable outcomes and a defensible business case.\n\nOwn the architecture : \n\n- Own end-to-end architecture : LLM and model-portfolio selection, context engineering, retrieval and knowledge architecture, agent orchestration, microservices, integrations, data platform touchpoints, and UI.\n\n- Set the non-functional bar and design to it - latency, throughput, unit cost per interaction, accuracy/eval thresholds, observability, safety, security, data residency, and auditability.\n\n- Define reference architectures, agentic blueprints, and accelerator standards for the practice.\n\n- Make and document build-vs-buy and platform decisions, including model routing, fine-tuning vs prompting vs retrieval, and open vs proprietary model strategy.\n\nProve it : \n\n- Build prototypes, storyboards, demos, accelerators, and reusable agentic blueprints.\n\n- Engineer and validate AI agents for reliability, reasoning, safety, and performance; establish the evaluation and red-teaming approach.\n\n- Lead PoCs, pilots, and phase-0 MVPs across industries, arbitrating scope so the proof lands inside the sales cycle.\n\nWin and hand over : \n\n- Author and quality-gate client-ready content : architecture decks, SoWs, proposals, estimates, value frameworks, risk and assumption registers, and demo storylines.\n\n- Lead technical deep-dives, security and architecture reviews, and competitive differentiation discussions.\n\n- Refine solution narratives based on client feedback and market conditions.\n\n- Oversee a seamless transition from sales to delivery.\n\nBuild the practice : \n\n- Create thought leadership and reusable IP; represent the firm externally at client forums, partner events, and in published material.\n\n- Mentor AI Leads and engineering teams; grow the bench of people who can do this role.\n\n- Collaborate with hyperscalers and product partners to craft next-generation AI-led experiences and co-funded initiatives.\n\nMust-have skills and experience : \n\nArchitecture and platform depth : \n\n- Proven track record architecting and shipping production-grade GenAI/agentic systems in enterprise environments.\n\n- Deep command of LLM selection and evaluation, context engineering, model routing and cost control, and the trade-offs between prompting, retrieval, tool use, and fine-tuning.\n\n- Strong microservices and integration architecture : event-driven and API-led patterns, identity and access, secrets, multi-tenancy, and integration with core enterprise systems.\n\n- Enterprise concerns as first-class design inputs : security, privacy, data residency, model governance, responsible AI, and regulatory constraints.\n\nAgentic AI engineering (hands-on) : \n\n- Hands-on working knowledge of defining and configuring prompts, instructions, tools, reasoning strategies, guardrails, memory, and orchestration in AI agent development.\n\n- Design and debugging of multi-agent and long-horizon workflows, including failure modes, recovery, and human-in-the-loop control points.\n\n- Strong experience with RAG pipelines, vector databases, tokenization, and prompt engineering.\n\nEngineering craft (hands-on) : \n\n- Hands-on experience creating and maintaining Python libraries; working command of LangChain, Hugging Face, OpenAI/Anthropic APIs, and locally hosted open models.\n\n- Very strong experience developing RESTful APIs in Python with FastAPI and integrating third-party services, UI components, and APIs.\n\n- Hands-on Docker-based deployment, CI/CD, and disciplined use of Git/GitHub for source control and review.\n\n- Working knowledge of modern data platforms and their GenAI surfaces (Databricks, Snowflake Cortex, lakehouse patterns).\n\nModel provider and hyperscaler GenAI platform know-how : \n\n- Broad, current understanding of the GenAI offerings across the major frontier-model providers and hyperscalers, with deep, hands-on mastery of at least one.\n\n- Able to construct and defend a multi-provider model strategy : capability-to-task mapping, model routing and tiering, benchmark and eval evidence, context-window and latency envelopes, unit economics, rate limits and capacity planning.\n\n- Fluent in the enterprise decision criteria : data residency and sovereignty, tenant isolation, IP and training-data commitments, certifications and auditability.\n\n- Designs for portability where it matters : provider-abstracted interfaces, gateway/routing layers, and prompt and eval assets that survive a model or vendor change.\n\nConsultative and commercial ability : \n\n- Demonstrated ability to turn ambiguous business problems into crisp AI use cases with clear value hypotheses and measurable outcomes.\n\n- Excellent communication and articulation skills; credible with a CIO/CDO and with a client's principal engineer.\n\n- Commercial fluency : estimation, deal shaping, pricing implications of architecture choices.\n\n- Hands-on prototyping mindset.\n\nGood to have : \n\n- Prior experience in a pre-sales, consulting, solution-architecture, or forward-deployed engineering capacity at scale.\n\n- Recognised depth in one or more industry domains (BFSI, healthcare/life sciences, retail/CPG, manufacturing, telecom, energy).\n\n- Experience running partner-funded or co-innovation programmes with a hyperscaler or model provider.\n\n- Certification on a hyperscaler AI/ML or architect track.\n\n- Experience with self-hosted / open-weight model deployment (vLLM, Bedrock or Vertex custom endpoints, on-prem GPU).\n\n- Published thought leadership, patents, open-source contributions, or conference speaking on GenAI/agentic systems.\n\nSkills\nArtificial Intelligence, Generative AI, Python, FastAPI, LangChain, AWS, Agentic AI, LLM, RAG, AI Architecture","description_format":"text","description_chars":6179,"description_truncated":false,"requirements":{"experience_years_min":9,"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":[],"lifecycle":[{"event":"open","at":"2026-10-15T04:31:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.857,"p_room":1,"age_days":6,"expected_fill_days":31,"reasons":["seen:6","win:early"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/komandla-anusha-ai-architect","json_url":"https://alion.io/job/komandla-anusha-ai-architect.json","meta":{"generated_at":"2026-10-21T19:04:00Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27017,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4433520},"rest":"https://alion.io/mcp/rest/get_company?id=4433520"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkomandla-anusha-ai-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fkomandla-anusha-ai-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fkomandla-anusha-ai-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/komandla-anusha-ai-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkomandla-anusha-ai-architect"}]}