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Technology Architect

Technology Architect

Accenture

8 - 13 years

10 - 15 Lacs

bengaluru

Posted:2 days ago| Platform:

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Skills Required

compliance gke kubernetes mlops python data pipelines ai aks enterprise architecture system software llm enterprise integration cloud architecture gcp stakeholder management legal aws etl programming architecture azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role
Project Role :Technology Architect
Project Role Description :Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security.
Must have skills :Python (Programming Language)
Good to have skills :CommerceTools Commerce Platform
Minimum 12 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:Define and govern the enterprise GenAI architecture across products and platforms. Own reference architectures, standards, and roadmaps; ensure solutions meet performance, capability, scalability, security, and compliance needs.
Roles & Responsibilities:

Create reference architectures for LLM apps, RAG platforms, multi agent orchestration, and data pipelines; standardize reusable patterns.

Drive cloud strategy for GenAI across AWS Bedrock, Azure OpenAI, Vertex AI; evaluate model fit (GPT 4o/Claude/Gemini/open source).

Define governance:model risk controls, evaluation frameworks, observability (latency, hallucination, bias), prompt security, red team testing.

Set data/RAG standards:document sources, metadata schema, chunking, embeddings, vector index strategy, lineage and explainability.

Architect scalable deployments (Kubernetes/AKS/EKS/GKE), API and event architectures, caching layers, and cost controls.

Align with InfoSec/Legal/Compliance on policy enforcement (privacy, IP, responsible AI), and with Ops on SLAs/DR.

Shape technology roadmaps, capability uplift (tooling, accelerators), and investment plans; advise execs with POVs and business cases.

Guide tech leads and SMEs; run design reviews and architecture boards.
Professional & Technical Skills:

Expert Python & architectural design; ability to review code and set standards.

Deep knowledge of LLMs, embeddings, RAG, retrieval strategies, citation/grounding, multi agent orchestration (LangGraph/LangChain).

Cloud architecture across AWS/Azure/GCP; networking, identity, security, and enterprise integration (queues, streams, ETL).

MLOps & platform ops:model registry, feature stores, deployment/versioning, telemetry, rollbacks.

Strong Influencing & Advisory skills; stakeholder management; cross team decision making.

Experience implementing Responsible AI frameworks and audit ready processes
Additional Information:

Bachelors/Masters in CS/Engineering (or equivalent).

Typically 1418+ years experience with significant time in Data & AI Strategy and enterprise architecture
Qualification15 years full time education

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Technology Architect