Gen AI Architect

Join Us!!!

We at LTI Mindtree hiring for Gen AI Architect

Education: Bachelors/Master's Degree in Computer Science or equivalent

Minimum Experience: 15-20 years

Notice Period: Immediate Joiners to 30 days

Location: Mumbai, Pune, Hyderabad, Chennai, Bangalore, Noida, Kolkata

Mandatory Technical Skills: GenAI - LLM Ops

Experience

15 20 years of overall experience with 6 years in data AI platforms and 3 years leading GenAI ML driven solutions at enterprise scale

Role

The GenAI Architect is responsible for defining and driving the enterprise GenAI and AI platform strategy enabling scalable secure and responsible AI adoption across business units This role blends AI architecture cloud platforms data engineering foundations and governance guiding teams from experimentation to production grade AI systems

Responsibilities

Lead largescale AI GenAI platform design and rollout across multiple business functions

Establish AI governance security ethics and compliance frameworks

Define the enterprise GenAI strategy reference architectures and adoption roadmap

Guide solution architects data scientists and engineering teams through architecture reviews and delivery

Standardize AIML development deployment and monitoring practices

Evaluate AI platforms LLM providers vector databases and tooling ecosystems

Technical process skills

Define enterprise GenAI and AI platform architectures covering data ingestion model development orchestration deployment and monitoring

Architect scalable AI systems using Python ML frameworks PyTorch TensorFlow scikitlearn and modern MLOps practices

Design retrieval augmented generation RAG prompt orchestration agent based systems and LLM integration patterns

Establish data engineering foundations including batchstream processing data lakeswarehouses feature stores and data quality frameworks

Design AI platforms on cloud environments Azure, AWS, GCP with strong security scalability and cost governance

Implement MLOps pipelines for model training versioning testing deployment and continuous monitoring

Architect responsible AI controls including data privacy bias mitigation model explain ability and compliance

Define observability for AI systems including drift detection performance monitoring and feedback loops

Guide enterprise adoption through architecture standards reusable components and platform accelerators

Experience with vector databases Pinecone Weaviate OpenSearch FAISS etc

Exposure to GenAI frameworks LangChain LlamaIndex Semantic Kernel Haystack

Good to have

Knowledge of enterprise data governance and regulatory standards

Cloud AI certifications or advanced ML credentials

Soft skills

Executive level communication and influencing skills

Strong business understanding with AI value realization mindset

Proven leadership across cross functional technical teams

Strategic thinker with hands on architectural depth

Interested candidate pls share below details with update resume at surbhi.ojha@ltimindtree.com

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