Senior AI Consultant

We are seeking a Senior AI Consultant with deep expertise in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). This role is ideal for professionals who have hands-on experience building, deploying, and scaling enterprise-grade AI/LLM solutions using modern frameworks and cloud platforms.

You will lead end‑to‑end AI solution design, work directly with clients, and drive the adoption of next‑generation AI technologies such as RAG, AI Agents, vector databases, and foundation model tuning.

Key Responsibilities

• Lead end-to-end AI/ML and LLM solution architecture, development, deployment, and optimization.
• Design Generative AI and RAG solutions using vector stores, embeddings, and orchestration frameworks.
• Guide teams on model selection, fine‑tuning, LoRA/QLoRA, evaluation, and optimization.
• Build scalable AI pipelines, MLOps workflows, and CI/CD-based deployments.
• Translate client business needs into AI/ML architectures, roadmaps, and technical strategies.
• Develop solutions for AI search, document intelligence, chatbots, and decision support systems.
• Create reusable AI accelerators, frameworks, patterns, and best practices.
• Present AI solution approaches, architecture decisions, and outcomes to senior stakeholders.
• Ensure compliance with Responsible AI, XAI, fairness, and bias mitigation frameworks.
• Collaborate with data engineering teams for data quality, feature engineering, and scalable data pipelines.

Mandatory Skills & Experience

AI/ML Expertise

• Strong hands-on experience with ML, DL (CNNs, RNNs, Transformers).
• Experience across supervised, unsupervised, and reinforcement learning.

LLMs & Generative AI

• Proven experience with GPT, Llama, Mistral, Falcon, and other foundation models.
• Hands-on with Prompt Engineering, Fine‑tuning, LoRA/QLoRA, PEFT.
• Expertise in RAG systems, embeddings, vector databases (Pinecone, Weaviate, FAISS, Redis).
• Experience building LLM apps using LangChain, LangGraph, LlamaIndex.
• Familiarity with AI Agent frameworks: CrewAI, LangChain Agents, DSPy.

Frameworks & Tools

• Proficiency in PyTorch, TensorFlow, Hugging Face, MLflow, Scikit-learn.
• Experience developing AI microservices, APIs, and scalable backend components.

Cloud & Deployment

• Strong experience with Azure AI Studio, AWS Bedrock, Google Vertex AI, Databricks Mosaic AI.
• Hands-on with Docker, Kubernetes, containerization, and orchestration.
• Experience implementing MLOps pipelines & CI/CD in production environments.

Programming & Data Skills

• Strong coding experience in Python for model development and data processing.
• Familiarity with ETL/ELT, feature engineering, structured/unstructured datasets.

Soft Skills

• Excellent communication and client-facing consulting skills.
• Strong problem-solving and solution design abilities.
• Ability to mentor junior engineers and lead technical discussions.

Basic Qualifications

• Bachelor’s degree in Computer Science, Data Science, or related field.

Please note: These positions are not fully remote. Selected candidates will be required to work from an Infosys office near their current location.