Technical Architect- Remote, India

This is a remote position. We are seeking a Technical Architect with 10+ years of overall technology experience, including proven experience architecting and delivering production Generative AI systems.

The ideal candidate will combine deep hands-on command of large language models, retrieval-augmented generation, and Agentic architectures with the judgement to design AI solutions that hold up under real enterprise constraints of cost, latency, security, and compliance.

This role owns the technical architecture of AI engagements end-to-end: shaping the solution during discovery and pre-sales, defining reference architectures and integration patterns, selecting models and platforms, and guiding delivery teams through implementation.

You will work directly with client stakeholders, product managers and engineering leads, and will help set the technical standards of our AI practice. This is a senior, hands-on architecture role rather than a purely advisory one. This role owns multiple concurrent AI engagements from discovery through production.

Beyond technical architecture, the Technical Architect is expected to act as a trusted advisor to clients, lead engineering teams, mentor future technical leaders, and drive engineering excellence through hands-on involvement.

Requirements Responsibilities Own the end-to-end architecture of GenAI solutions across the retrieval, orchestration, model, integration, and deployment layers. Translate ambiguous business problems into AI solution designs with clear scope, feasibility assessment and success metrics.

Define reference architectures, design patterns and reusable accelerators for RAG, agentic workflows and LLM integration. Lead model and platform selection, documenting the cost, latency, accuracy and data-residency trade-offs behind each decision.

Design the non-functional envelope: scalability, latency budgets, availability, observability and inference cost control. Architect data and retrieval pipelines covering ingestion, chunking, embedding strategy, vector store selection and hybrid search.

Define evaluation strategy and guardrails so accuracy, groundedness, safety and hallucination rates can be measured and governed. Embed security, privacy and compliance into the design: PII handling, tenancy isolation, access control and audit.

Support pre-sales and discovery through solution workshops, effort estimation, technical proposals and client presentations. Guide delivery teams, run design reviews and mentor engineers, while staying hands-on in prototyping and unblocking hard problems.

Maintain architecture documentation and decision records, and assess which advances in generative AI are ready for enterprise adoption. Own multiple client engagements simultaneously while maintaining delivery quality.

Lead discovery workshops, challenge assumptions, and refine business requirements into technically sound solutions. Push back on unrealistic timelines, architectures, or requirements using engineering judgement and data. Build strong relationships with Team, product owners, and executive stakeholders.

Mentor senior engineers and cultivate future architects and technical leaders. Lead architectural governance, design reviews, and technical decision records. Set engineering standards, coding guidelines, AI development best practices, and review critical code.

Remain hands-on by building prototypes, solving difficult technical problems, and contributing production-quality code when needed. Drive cross-project reuse through internal frameworks, accelerators, and reference implementations.

Present architecture, trade-offs, risks, and implementation strategy confidently to executive audiences. Essential Skills Job 10+ years in software engineering, data or AI roles, including at least 3 years in an architect or technical lead capacity.

Demonstrated experience architecting and delivering production Generative AI systems, not only prototypes or POCs. Strong hands-on Python, with the ability to pr