{"id":1266613,"url":"https://alion.io/job/f22labs-ai-technical-architect","title":"AI Technical Architect","company":{"id":1819766,"name":"F22 Labs","domain":"f22labs.com","url":"https://alion.io/company/f22labs","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":76000,"period":"year","method":"role_seniority_country_cell","sample_n":13},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Next.js","optional":false},{"name":"PostgreSQL","optional":false},{"name":"RAG","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-09-03T10:17:09Z","employer_posted_date":null,"last_verified_at":"2026-09-03T10:17:09Z","board_verified":false,"closed_at":null,"days_open":26,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":26},"description":"Responsibilities:\n\nTechnical Discovery & Solution Design (40%):\n\n- Lead discovery workshops: Run technical discovery sessions with client stakeholders to understand business processes, pain points, data landscapes, and transformation goals.\n\n- Architect AI-native solutions: Design end-to-end system architectures - covering agentic AI components (multi-agent workflows, RAG, LLM orchestration), application layers (Next.js, TypeScript, Medusa), data infrastructure (PostgreSQL, vector DBs), and cloud deployment across our partner platforms (AWS Bedrock, Gemini Enterprise / Vertex AI on Google Cloud).\n\n- Evaluate and recommend: Assess build-vs-buy decisions, technology stack choices, model selection, and integration approaches based on client constraints and ROI.\n\n- Create technical proposals: Produce detailed architecture documents, system diagrams, and technical narratives that win client trust and close deals.\n\nEngineering Estimation & Planning (30%):\n\n- Build accurate estimates: Break down complex engagements into phased delivery plans with task-level estimates across modules, roles, and timelines.\n\n- Define team composition: Specify the right mix of AI Engineers, AI-Native Engineers, and Platform Engineers for each engagement; factor in AI-assisted productivity gains.\n\n- Risk assessment: Identify technical risks, dependency chains, and integration complexity; build mitigation strategies into project plans.\n\n- Scope management: Work with Practice Leaders and Outcome Managers to balance ambition with delivery reality - protecting both client outcomes and team sustainability.\n\nTechnical Leadership & Pre-Sales (30%):\n\n- Technical credibility in sales: Join pre-sales conversations to provide technical depth, answer architecture questions, and demonstrate devx labs' engineering capability.\n\n- POC and prototype leadership: Build rapid proofs-of-concept that validate technical feasibility and demonstrate value before full engagement commitment.\n\n- Cross-practice knowledge: Maintain deep understanding across all three practice areas - Customer Interactions, AI-Led Business Operations, and Enterprise Architecture - to architect integrated solutions.\n\n- Mentor and elevate: Guide Senior AI Engineers on architectural thinking, system design principles, and client communication skills.\n\nSkills\nArtificial Intelligence, Generative AI, Microservices Architecture, AI Architecture, RAG, LLM","description_format":"text","description_chars":2414,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T22:00:00Z"}],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.611,"p_room":0.9,"age_days":25,"expected_fill_days":42,"reasons":["seen:25","win:mid"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/f22labs-ai-technical-architect","json_url":"https://alion.io/job/f22labs-ai-technical-architect.json","meta":{"generated_at":"2026-09-30T04:11:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2834,"day_limit":5000,"remaining_today":2166,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}