Responsibilities

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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,

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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 robust relationships with Team, product owners, and executive stakeholders.

Mentor senior engineers and cultivate future architects and technical leaders.

Lead architectural governance, d

📌 Technical Architect- Remote, India
🏢 The Hackett Group
📍 India