Technology Architect
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : Python (Programming Language)
Good to have skills : CommerceTools Commerce Platform
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Lead the engineering delivery of GenAI products. Own technical decisions, solution quality, and team execution across front end, back end, and cloud AI services. Mentor developers, standardize patterns, and ensure secure, scalable deployments.
Roles & Responsibilities:
- Translate business requirements into solution blueprints (LLM selection, RAG architecture, data contracts, API design).
- Own non functional targets (latency, scalability, cost, resilience) and guide performance engineering.
- Establish coding standards for Python/TypeScript enforce test coverage, secure practices, and review discipline.
- Design RAG pipelines at scale: ingestion jobs, metadata schema, hybrid search (embeddings), re ranking.
- Decide cloud service mix and deployment topology across AWS/Azure/GCP optimize token/cost with caching, response shaping, batching.
- Integrate observability (logs, traces, metrics), evaluation (hallucination/toxicity/bias), and responsible AI controls.
- Plan and run CI/CD & MLOps (model/config versioning, feature flags, canary/blue green).
- Mentor engineers unblock delivery collaborate with architects, product, and security.
Professional & Technical Skills:
- Deep hands on Python + system design for microservices/REST/graphql front end in React/Angular.
- Proven LLM & RAG solutioning: retrieval strategies, grounding sources, prompt/tool orchestration, guardrails.
- Cloud design patterns:
- AWS: Bedrock, Lambda/Step Functions, SageMaker endpoints, Kendra/OpenSearch, CloudWatch.
- Azure: OpenAI, Functions/AKS, Cosmos DB, Azure AI Search, Monitor/Log Analytics.
- GCP: Vertex AI, Cloud Run, BigQuery, AlloyDB, Vertex Search/RAG.
- Security & compliance: OAuth2/OIDC, secret rotation, data residency, PII handling, prompt security.
- Performance & cost engineering for LLMs (token budgets, context packing, streaming).
Additional Information:
- Bachelor s/Master s in CS/Engineering (or equivalent).
- Typically 10–14 years total experience 3–6 years in AI/GenAI.
- Demonstrated team leadership across 6–12 engineers.
Bengaluru
雇用機会の均等化に関する声明
アクセンチュアは選考に際し、適用される法令に基づき、応募者を年齢、人種、思想信条、肌の色、宗教、性別、国籍、出生地、民族的起源、障がいの有無、性的指向、性同一性、遺伝情報、婚姻、パートナーの有無、市民権において差別することなく、全ての応募者に対し適用される法令に基づき採用選考を行います。
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.