F22 LABS - AI Technical Architect
F22 Labs · Itanagar · onsite · Posted 48d ago
Not disclosedFresherfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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.
- 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 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.
Sourced from foundit
Skills
Vertex AI on Google CloudRetrieval Augmented GenerationPostgresqlNext.jsLLM orchestrationaws bedrockdata infrastructureGemini Enterprisetechnical proposalsvector DBsMedusamulti-agent workflowsTypescriptAgentic AI components
About F22 Labs
F22 Labs
25
employees
2014
12 years old
Chennai,Tamil Nadu
India
₹10.4L PA avg
Avg at F22 Labs
About
A software studio that develops scalable web and mobile applications for startups, focused on delivering quality and innovative solutions.
Industries
MobileSoftware
Employee ratings
10 reviews
2.6/ 5
Culture
2.5
Career growth
2.2
Work-life
2.3
Employees rate it well for
Skill Development33Company Culture27
Find them on