Senior Technical Consultant - Data and AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Technical Consultant - Data and AI based in India.

This role is focused on delivering production-grade GenAI and agentic AI solutions for enterprise clients, taking ideas from design all the way into scalable, reliable systems in live environments. You will act as both a hands-on engineer and a technical advisor, translating complex business problems into robust AI workflows powered by LLMs, orchestration frameworks, and cloud-native services. The position involves close collaboration with architects, product managers, and domain experts to ensure solutions are not only technically sound but also aligned with real business outcomes. You will work across the full lifecycle of AI systems, including development, deployment, observability, and continuous improvement. This is a high-impact role where engineering depth meets client-facing ownership in fast-moving, real-world AI transformations. It is ideal for someone who thrives in ambiguity and enjoys building end-to-end AI systems that actually run in production.

• Own end-to-end delivery of GenAI and agentic AI solutions, including design, development, testing, deployment, and ongoing production support in client environments.
• Translate solution designs into scalable Python-based services and workflows, integrating LLMs and AI capabilities into enterprise systems.
• Build and maintain agentic and multi-step workflows using orchestration frameworks such as LangGraph, LangChain, or similar tools.
• Design robust APIs and tool interfaces for AI agents with proper schemas, versioning, error handling, and observability integration.
• Implement and maintain retrieval-augmented generation (RAG) pipelines and optimize model performance using structured tuning and evaluation methods.
• Establish monitoring, logging, and evaluation frameworks to ensure reliability, quality, and safety of AI systems in production.
• Collaborate with product, engineering, and domain stakeholders to convert requirements into production-ready AI solutions and participate in architecture and design reviews.
• Support junior engineers, contribute to reusable engineering patterns, and actively use AI tools to accelerate development and delivery.

Requirements

• 5+ years of experience in data science, machine learning, deep learning, or AI engineering roles with strong production exposure.
• Strong Python programming skills with a focus on scalable, maintainable, and production-ready code.
• Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Solid understanding of transformer architectures, attention mechanisms, and modern generative AI concepts including RAG, fine-tuning, and transfer learning.
• Experience deploying and operating ML or GenAI systems in production, including monitoring, versioning, and lifecycle management.
• Familiarity with LLM providers and platforms such as OpenAI, Anthropic Claude, LLaMA, AWS Bedrock, or Azure OpenAI.
• Experience with agentic workflows or orchestration frameworks (LangChain, LangGraph, or similar).
• Understanding of cloud platforms (AWS/Azure), including deployment, observability, and serverless patterns.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Experience in client-facing or pre-sales activities such as solution design, estimation, or scoping is a plus.

Benefits

• Competitive compensation aligned with experience and industry benchmarks
• Comprehensive health insurance coverage with options for dependents
• Flexible work arrangements supporting work-life balance
• Paid time off, holidays, and additional leave benefits as per policy
• Learning and certification support for continuous professional growth
• Employee wellness programs focused on physical and mental well-being
• Inclusive, collaborative, and people-first global work culture
• Exposure to cutting-edge AI projects and enterprise-scale transformations