F22 LABS - AI Technical Architect

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
0-15 years
Itanagar, Arunachal Pradesh
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 4 Nov 2026

Posted: 1 month ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Discovery & Solution Design (40%):

  • Lead discovery workshops: Run technical discovery sessions with client stakeholders to understand business processes, pain points, data landscapes, and transformation goals.
  • 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).
  • Evaluate and recommend: Assess build-vs-buy decisions, technology stack choices, model selection, and integration approaches based on client constraints and ROI.
  • Create technical proposals: Produce detailed architecture documents, system diagrams, and technical narratives that win client trust and close deals.

Engineering Estimation & Planning (30%):

  • Build accurate estimates: Break down complex engagements into phased delivery plans with task-level estimates across modules, roles, and timelines.
  • 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.
  • Risk assessment: Identify technical risks, dependency chains, and integration complexity; build mitigation strategies into project plans.
  • Scope management: Work with Practice Leaders and Outcome Managers to balance ambition with delivery reality - protecting both client outcomes and team sustainability.

Technical Leadership & Pre-Sales (30%):

  • Technical credibility in sales: Join pre-sales conversations to provide technical depth, answer architecture questions, and demonstrate devx labs engineering capability.
  • POC and prototype leadership: Build rapid proofs-of-concept that validate technical feasibility and demonstrate value before full engagement commitment.
  • Cross-practice knowledge: Maintain deep understanding across all three practice areas - Customer Interactions, AI-Led Business Operations, and Enterprise Architecture - to architect integrated solutions.
  • Mentor and elevate: Guide Senior AI Engineers on architectural thinking, system design principles, and client communication skills.

(ref:hirist.tech)

Skills

AiGoogle CloudLlmRagAgenticAgentic AiVertex AiAws Bedrock

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