Location: Hyderabad, Telangana (Hybrid)
Experience: 6+ years in software engineering, with 3+ years in AI/ML and demonstrable ownership of production GenAI systems
Employment Type: Full time
Notice Period: Immediate to 30 days preferred

About the Role
We are looking for an AI/ML Architect who can own the technical direction of our AI products end to end from framing an ambiguous business problem, to designing the architecture, to shipping it into production and standing behind it.
This is a senior individual-contributor-plus-leadership role. You will be the person the team turns to for design decisions, the person clients turn to for credibility, and the person the business turns to when it needs to know whether an idea is feasible, what it will cost, and how long it will take. You should be comfortable writing code and equally comfortable defending an architecture in front of a customer's technology leadership.

What You'll Own
Architecture & Solution Design
Own end-to-end architecture for AI/ML and Generative AI platforms- data ingestion, retrieval, orchestration, inference,



evaluation, and monitoring.
Translate ambiguous business requirements into reference architectures, technical specifications, and phased delivery plans.
Make and defend build-vs-buy, model selection, and hosting decisions (proprietary vs. open-weight, managed vs. self-hosted), backed by benchmarks and cost analysis.
Define patterns and standards the wider engineering team builds against, so solutions are reusable rather than one-off.

Production, Scale & Cost
Take models from notebook to production with proper CI/CD, versioning, observability, and rollback paths.
Own the unit economics of AI features: token and inference cost, caching, batching, model routing/tiering, latency and throughput targets.
Establish monitoring for drift, degradation, and failure modes, and act on what it reports.
Architect for scale, reliability, and security across AWS, Azure, or GCP.

Technical Leadership
Lead and

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