Generative AI Architect

About Coforge

Coforge is a global digital services and solutions company leveraging cutting-edge technologies and deep expertise to deliver tangible business outcomes. With over 26,000 professionals across 23 countries and multiple delivery centers, Coforge specializes in industry-focused, technology-driven transformations. The company emphasizes Product Engineering and employs AI, cloud computing, data integration, and automation to enhance core verticals. Coforge values diversity and inclusivity, welcoming applicants from all backgrounds without discrimination.

Job Overview

The Generative AI Architect will be pivotal in designing, developing, and deploying generative AI solutions aligned with corporate strategies. This role entails leading architecture and implementation of advanced AI models including large language model (LLM) systems and agentic workflows, focusing on scalability, security, and ethical AI practices. The position requires collaboration across various teams and deep knowledge of AI ethics and LLM orchestration frameworks.

Key Responsibilities

• Develop and uphold the architectural framework for generative AI and LLM-based solutions such as Retrieval-Augmented Generation (RAG), agents, and complex workflows, ensuring alignment with business and technical standards.
• Lead design, fine-tuning, and rollout of generative AI models like GPT, DALL-E, Stable Diffusion, supporting applications including content creation, automation, AI copilots, and decision-making tools.
• Construct LLM orchestration pipelines utilizing technologies like LangChain, LangGraph, Semantic Kernel, and develop multi-step agentic workflows and tool-augmented agents.
• Design and implement RAG pipelines leveraging vector databases such as FAISS, Pinecone, and Azure AI Search to integrate enterprise knowledge bases.
• Collaborate with engineering teams to integrate generative AI, LLM services, and autonomous agents into existing software, application programming interfaces (APIs), and workflows.
• Ensure AI solutions are production-grade, scalable, optimized for latency and cost, and operable in cloud or hybrid environments.
• Embed ethical AI practices including bias mitigation, explainability, safety measures, and responsible deployment procedures.
• Keep current with LLM advancements, prompt engineering, multimodal AI, and generative AI tools, applying innovative methods in strategic initiatives.
• Work closely with data scientists, machine learning engineers, product managers, and other stakeholders to pinpoint AI opportunities and deliver results effectively.
• Produce detailed documentation covering AI architectures, workflows, prompt libraries, and governance standards.

Experience & Qualifications

• At least 7 years of experience in AI/ML architecture or a closely related field.
• Proven track record in designing and deploying generative AI and LLM-based production systems.
• Hands-on experience with orchestrating frameworks like LangChain, LangGraph for constructing LLM pipelines and agent systems.
• Skilled in developing RAG pipelines, integrating vector databases, and applying prompt engineering techniques.
• Familiarity with AI frameworks such as TensorFlow, PyTorch, and Hugging Face.
• Experienced with cloud platforms including AWS, Azure, or Google Cloud for scalable AI deployments.
• Programming proficiency in Python (preferred), Java, or C++.
• Strong foundation in machine learning and deep learning concepts, embeddings, and model fine-tuning.

Eligibility

Graduates from any discipline are welcome to apply.

Additional Information

Location: Bangalore or Greater Noida (onsite role).