- Step into a high impact role where you ll shape how Generative AI systems are envisioned validated trusted and scaled in real world enterprise environments
- As a senior technology consultant and architect you will partner with business product and engineering stakeholders to run discovery workshops define success metrics and create solution roadmaps for high value GenAI and ML use cases
- You ll blend hands on technical depth with architecture leadership guiding teams from experimentation to production grade systems while designing robust testing strategies for GenAI solutions covering quality safety reliability and performance
- You ll work hands on with data scientists ML engineers and cloud teams to build repeatable evaluation frameworks automate testing pipelines and guide stakeholders through best practices for responsible AI adoption
- If you enjoy translating complex needs into elegant AI architectures solving ambiguous problems mentoring teams and building solutions that are secure reliable and measurable this role offers the right blend of innovation ownership and collaboration
- Lead discovery workshops to identify high value GenAI and ML use cases define success metrics standard and custom and create solution roadmaps
- Architect end to end Generative AI systems including data pipelines model selection orchestration evaluation and deployment patterns using Infosys and industry standard tools and platforms
- Design and implement ML AI solutions using Python or other relevant Data Science AI languages applying strong software engineering practices for maintainability performance and reliability
- Build MCP and agentic based solutions using appropriate frameworks enabling tool function calling workflow orchestration and multi step reasoning patterns aligned to business needs
- Test and validate GenAI applications using relevant tools and frameworks capture analyze and report standard and custom quality metrics e
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- relevance groundedness toxicity latency cost and drive continuous improvement
- Collaborate with cloud and platform teams to design scalable Cloud AI architectures and cost efficient deployments across AWS Azure or GCP
- Explore and evaluate new technologies tools and testing methodologies to improve development processes and solution quality stay up to date with advancements in Generative AI and evaluation practices
- Experience architecting Cloud AI solutions including scalable inference data security patterns and cost performance optimization
- Hands on experience with LLM application patterns such as RAG tool function calling prompt engineering and automated evaluation frameworks
- Strong MLOps LLMOps expertise experiment tracking model registry CI CD observability drift detection and incident response for AI services
- Experience with data engineering concepts feature stores batch stream processing to support ML and GenAI workloads
- Proven ability to lead architecture governance create reference architectures and drive adoption across teams and portfolios
- Good to have skills Agile methodologies CI CD pipelines API testing SQL Database basics
- Location BANGALORE PUNE HYDERABAD CHENNAI TVM INDORE NAGPUR MLR MYS NOIDA BBSR KOLKATA COIMBATORE HUBLI
Technology->AI-Generative AI->Generative AI - Basic,Technology->AI-Data science->Machine Learning,Technology->AI-Data science->PYTHON,Technology->Cloud Testing->Cloud Testing - ALL
