144 AI Architect jobs in Coimbatore

Required Skills & Experience

• 7+ years of experience in AI/ML solution architecture, including 2+ years working directly with LLMs and Generative AI

• Proven success deploying production LLM applications, including prompt engineering, fine-tuning, and retrieval-augmented generation

• Hands-on experience with enterprise-grade LLM APIs (e.g., OpenAI, Claude, Gemini) and orchestration frameworks (e.g., LangChain, LlamaIndex)

• Proficient in Python for building orchestration pipelines, APIs, and experimentation frameworks

• Strong expertise with Databricks ecosystem—Unity Catalog, Delta Lake, MLflow, and cluster orchestration

• Deep knowledge of data governance, metadata management, and data lineage in large-scale, regulated environments

• Experience integrating vector databases (FAISS, Weaviate, Pinecone) and implementing feedback systems (e.g., RLHF, user feedback loops)

• Ability to map domain problems to AI workflows in a modular, scalable, and secure way

• Familiarity with deploying models in cloud or hybrid environments (AWS, Azure, or GCP)

• Clear and effective communicator, capable of working cross-functionally with technical and non-technical teams

Job Description

A global life sciences company is seeking an AI Architect to join the team in India (hybrid onsite OR remote). This high-impact role is ideal for an experienced architect passionate about applying cutting-edge LLM technology to solve complex problems in healthcare, research, and regulated environments. The architect will lead the design and deployment of scalable, secure, and compliant Generative AI solutions that power use cases such as domain-specific assistants, semantic search, summarization, and intelligent knowledge retrieval. They will collaborate with data engineering, platform, and compliance teams to build end-to-end LLM workflows—integrating RAG pipelines, vector stores, prompt orchestration, and real-time inference. They will use Databricks Unity Catalog to ensure robust governance of training and inference datasets, metadata, lineage, and access controls. The role requires a strong architectural mindset, a deep understanding of AI governance in regulated environments, and the ability to work closely with scientific and business stakeholders to translate domain needs into effective AI systems.

***This role can pay up to 37 LPA

Required Skills & Experience

• 7+ years of experience in AI/ML solution architecture, including 2+ years working directly with LLMs and Generative AI

• Proven success deploying production LLM applications, including prompt engineering, fine-tuning, and retrieval-augmented generation

• Hands-on experience with enterprise-grade LLM APIs (e.g., OpenAI, Claude, Gemini) and orchestration frameworks (e.g., LangChain, LlamaIndex)

• Proficient in Python for building orchestration pipelines, APIs, and experimentation frameworks

• Strong expertise with Databricks ecosystem—Unity Catalog, Delta Lake, MLflow, and cluster orchestration

• Deep knowledge of data governance, metadata management, and data lineage in large-scale, regulated environments

• Experience integrating vector databases (FAISS, Weaviate, Pinecone) and implementing feedback systems (e.g., RLHF, user feedback loops)

• Ability to map domain problems to AI workflows in a modular, scalable, and secure way

• Familiarity with deploying models in cloud or hybrid environments (AWS, Azure, or GCP)

• Clear and effective communicator, capable of working cross-functionally with technical and non-technical teams

Job Description

A global life sciences company is seeking an AI Architect to join the team in India (hybrid onsite OR remote). This high-impact role is ideal for an experienced architect passionate about applying cutting-edge LLM technology to solve complex problems in healthcare, research, and regulated environments. The architect will lead the design and deployment of scalable, secure, and compliant Generative AI solutions that power use cases such as domain-specific assistants, semantic search, summarization, and intelligent knowledge retrieval. They will collaborate with data engineering, platform, and compliance teams to build end-to-end LLM workflows—integrating RAG pipelines, vector stores, prompt orchestration, and real-time inference. They will use Databricks Unity Catalog to ensure robust governance of training and inference datasets, metadata, lineage, and access controls. The role requires a strong architectural mindset, a deep understanding of AI governance in regulated environments, and the ability to work closely with scientific and business stakeholders to translate domain needs into effective AI systems.

***This role can pay up to 37 LPA

About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
• Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Integrate Gen AI capabilities into products, services, and enterprise applications.
• Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
• Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
• Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
• Participate in research, POCs, and innovation sprints around Gen AI use cases.

Required Skills & Experience

• 2–4 years of hands-on experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
• Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
• Good understanding of model fine-tuning, transfer learning, and model evaluation.
• Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Knowledge of multimodal AI (text + image/audio/video).
• Contributions to open-source AI projects or research publications.

What We Offer

• Opportunity to work on cutting-edge AI technologies and real-world Gen AI applications.
• A collaborative and innovative culture that values experimentation.
• Access to top AI tools, models, and cloud infrastructure.
• Competitive compensation and benefits.
• Flexible work options and career growth opportunities.

Ready to embark on a journey where your growth is intertwined with our commitment to making a positive impact? Join the Delphi family - where Growth Meets Values.

At Delphi Consulting Pvt. Ltd. , we foster a thriving environment with a hybrid work model that lets you prioritize what matters most. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset . We specialize in Data, Advanced Analytics, AI, Infrastructure, Cloud Security , and Application Modernization , delivering impactful solutions that drive smarter, efficient futures for our clients.

About the Role:

We are seeking a highly experienced professional with a strong foundation in Data Engineering and proven expertise in Generative AI . The ideal candidate will have 12–20 years of experience in data engineering, with at least 3 years (last 2 years acceptable) of hands-on work in Generative AI.

This role will begin as an Individual Contributor (IC) with opportunities to evolve into a team management capacity. The consultant will collaborate with Presales Managers to design technical solutions, lead client discussions (including hands-on coding demonstrations), and ensure end-to-end delivery of Data & GenAI projects across multiple industries.

What you'll do:

• Partner with Presales Managers to design, architect, and present Azure-based technical solutions to clients.
• Lead projects with a hands-on approach in Data Engineering and Generative AI .
• Conduct coding demonstrations and POCs to showcase solution feasibility.
• Collaborate with stakeholders to drive project success across industries such as E-commerce, Retail, Entertainment, Healthcare, Investment Holding, Supply Chain, and Real Estate .
• Mentor and guide team members as the role transitions into a leadership capacity.
• Ensure high-quality delivery with a focus on scalability, performance, and business impact.

What you'll bring:

• 12–20 years of experience in Data Engineering with deep expertise in the Azure ecosystem .
• Minimum 3 years of hands-on experience in Generative AI (with at least 2 years of recent, practical implementation).
• Proven ability to lead complex projects and deliver enterprise-grade solutions.
• Strong client-facing and solutioning experience , including technical presentations and workshops.
• Excellent communication and leadership skills.

Azure Tech Stack Expertise (Required)

• Data Engineering: Azure Data Lake, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Cosmos DB.
• Machine Learning & AI: Azure Machine Learning, OpenAI on Azure, Cognitive Services, Prompt Engineering, Model Fine-tuning, LLMOps (optional but preferred).
• Orchestration & Workflow: Azure Data Factory, Azure Functions, Event Grid.
• DevOps & CI/CD: Azure DevOps, GitHub Actions, MLFlow, DVC.
• Monitoring & Security: Azure Monitor, Log Analytics, Role-Based Access Control (RBAC).

What We Offer:

At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs , and skill-building opportunities to help you succeed. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.

Greetings from TATA Consultancy Services!

We are Looking for Gen AI Architect

Experience: 10-20 Years

Work Location: Pan India

Job Description:

Must Have- Gen AI / LLM /Agentic AI

• Gen AI
• Experience in LLMs, Embedding Models, Prompt Engineering
• Knowledge of statistical programming languages like Python
• Good applied statistical skills
• Good knowledge of machine learning algorithms
• Proficiency in handling imperfections in data & generating insights and patterns.
• Experience with Data Visualization Tools
• Fine tuning of LLM
• Evaluation Framework (RAGAS, ROUGE, BLUE Scrore)
• Autoencoding model (Encoder: ROBERTA/ BERT/ DistilBERT)
• Langsmith framework
• Autoregressive model (Decoder: GPT/ BLOOM/ LLama/ Mistral/ Claude/ CodeGen/ OPT/ PaLM
• RAG/Multimodal Architecture using Langchain/ LlamIndex
• MCP Architecture
• Experience Agentic AI Framework ( Crew AI, AutoGen, LangGraph, Google AVD etc. )
• Experience in Model deployment, LLMOps, Scalability and Performance
• Fine tuning of LLM
• AI ML exp.
• Candidate has exp. in Transformer Architecture (Encoder and decoders)
• Knowledge Graph implementation (If anyone has created knowledge graph, that's good)

Greetings!

TCS is hiring.

Role: Cloud AI Architect (AWS/AZURE/Google)

EXP: 10-16 YEARS

LOCATION: Pan India

Must Have-

• Deep knowledge of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) integrated with cloud platforms.
• Proficient with cloud AI services:Azure AI (Cognitive Services, ML Studio), AWS AI/ML (SageMaker, Rekognition), Google AI Platform.
• Experience with MLOps tools (Kubeflow, MLflow, Azure MLOps).
• Strong programming skills in Python, R, or Java.
• Understanding of data engineering concepts and cloud data platforms.
• Familiarity with cloud security standards and data privacy regulations.
• Excellent leadership and stakeholder management skills.
• Designing AI-powered cloud infrastructures: This includes selecting appropriate cloud services, designing the architecture, and ensuring scalability and performance.

Greetings!

TCS is hiring.

Role: Cloud AI Architect (AWS/AZURE/Google)

EXP: 10-16 YEARS

LOCATION: Pan India

Must Have-

• Deep knowledge of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) integrated with cloud platforms.
• Proficient with cloud AI services:Azure AI (Cognitive Services, ML Studio), AWS AI/ML (SageMaker, Rekognition), Google AI Platform.
• Experience with MLOps tools (Kubeflow, MLflow, Azure MLOps).
• Strong programming skills in Python, R, or Java.
• Understanding of data engineering concepts and cloud data platforms.
• Familiarity with cloud security standards and data privacy regulations.
• Excellent leadership and stakeholder management skills.
• Designing AI-powered cloud infrastructures: This includes selecting appropriate cloud services, designing the architecture, and ensuring scalability and performance.