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    EYGBS logo

    Tech S And T Cloud Dev-AI Product Engineer-NGTO-Senior-GDSF02

    EYGBS · Pune · onsite · Posted 33d ago

    Not disclosed4–7 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

    Technical AI Product Engineer

    4–7 Years | Full-time

    If you want to move beyond experiments and build AI systems that truly power products and decisions—this role is for you.

    About The Role

    We are building next-generation AI-powered products and platforms that transform how businesses operate, make decisions, and engage with customers.

    As a Technical AI Product Engineer, you will design and deliver production-grade GenAI and Agentic AI solutions—owning the full lifecycle from problem framing to deployment and continuous optimization.

    This role is ideal for engineers who combine deep AI/ML expertise with strong engineering rigor and product thinking, and want to build scalable, measurable, and responsible AI systems in a real-world enterprise setting.

    What You'll Do

    Build AI Products, Not Just Models

    • Design and develop GenAI-powered applications using LLMs, RAG, and agentic workflows
    • Translate business problems into measurable AI-driven outcomes
    • Define evaluation metrics and product success criteria

    Engineer Intelligent Systems at Scale

    • Build and optimize retrieval-augmented generation (RAG) pipelines
    • Develop agent-based AI systems with tool usage and orchestration
    • Deploy solutions on cloud-native architectures (Azure preferred)

    Own the AI Lifecycle (GenAI Ops)

    • Implement prompt engineering strategies, embeddings, and fine-tuning approaches
    • Build evaluation frameworks and guardrails for reliability and safety
    • Enable continuous monitoring of quality, latency, and cost

    Drive Responsible & Secure AI

    • Embed responsible AI practices (bias detection, explainability, moderation)
    • Ensure data privacy, governance, and compliance standards
    • Build systems aligned with enterprise security and trust principles

    Collaborate & influence

    • Partner with product, data, and engineering teams to prioritize AI features
    • Influence enterprise AI architecture and best practices
    • Enable teams through reusable AI components and APIs

    What You Bring

    Must-Have Skills

    • Strong programming in Python and SQL
    • Hands-on experience with GenAI patterns: Prompt engineering, Retrieval-Augmented Generation (RAG), Embeddings & semantic search, Agentic workflows
    • Experience with AI/ML frameworks: PyTorch / TensorFlow, Hugging Face, LangChain / Semantic Kernel
    • Experience deploying AI solutions on cloud platforms (Azure preferred): Azure OpenAI, Azure ML , Azure AI Search

    Engineering & Platform Skills

    • Strong foundation in data processing (Pandas, NumPy, Spark/Databricks)
    • Experience with MLOps / GenAI Ops: MLflow, pipelines, CI/CD, Docker, Azure DevOps
    • Experience building APIs and integrating AI into applications
    • Understanding of monitoring, observability, and system reliability

    Good-to-Have

    • Experience building agent-based or autonomous AI systems
    • Cost optimization for LLM workloads
    • Multi-modal AI (text, image, voice)
    • Frontend integration for AI-driven experiences

    Qualifications

    • Bachelor's or Master's in Computer Science, AI/ Data Engineering, or related field
    • 2+ years of experience in AI engineering or development

    Additional

    • Certifications in AI, genAI or Ganetic AI
    • Experience with data governance, security, and compliance standards

    EY | Building a better working world

    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

    Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

    Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

    Sourced from foundit

    Skills

    DockerAzure DevopsPrompt EngineeringApache SparkAgentic workflowsmlflowMLOpsSemantic KernelSemantic Searchazure mlAzure OpenAIEmbeddingsHugging Face TransformersAzure AI SearchPytorchTensorflowDatabricksPythonSQLPandasNumpyGenAI patternsMicrosoft AzureLangchain

    About EY Global Delivery Services ( EY GDS)

    EYGBS logo

    EYGBS

    Accounting & Auditing

    40.0k+

    employees

    2002

    24 years old

    Bangalore/Bengaluru, Karnataka

    India

    ₹15.5L PA avg

    Avg at EY Global Delivery Services ( EY GDS)

    About

    EY Global Delivery Services (GDS) is a truly global delivery network of over 74,000 people working across the border to provide innovative and strategic business solutions to EY member firms.

    Industries

    Accounting & AuditingIT Services & Consulting

    Employee ratings

    10 reviews

    3.5/ 5

    Culture

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    Career growth

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    2.0

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