AI Architect

Job Title: AI Architect
Location: Bangalore, India (Full-Time, On-site/Hybrid)
Job type: Full-time
Experience: 18+ Years
Domain: IT Services & Consulting / Captive Technology Centers 

Job Summary

• We are seeking a seasoned Principal AI Architect with 18+ years of experience to join our team in Bangalore.
• You will be responsible for defining the enterprise AI strategy, designing scalable, production-grade Artificial Intelligence and Generative AI solutions.
• You will serve as the technical authority, influencing C-suite stakeholders, mentoring high-performing teams, and ensuring our AI investments drive tangible business value. 

Key Responsibilities

• Strategic Vision: Architect and build comprehensive AI infrastructures and hardware solutions, ensuring alignment with overall business goals.
• GenAI & LLM Architecture: Design and deploy Generative AI applications, including RAG (Retrieval-Augmented Generation) systems, Vector Databases, and Agentic AI workflows.
• Solution Architecture: Create end-to-end AI pipelines, including feature stores, model training, deployment, monitoring, and retraining workflows (MLOps/LLMOps).
• Technical Leadership: Act as a subject matter expert (SME) to guide cross-functional teams in adopting best practices in AI, Machine Learning, and Deep Learning.
• Cloud & Integration: Lead integration of AI models with existing legacy enterprise systems using cloud-native services (AWS/Azure/GCP).
• Governance & Ethics: Ensure compliance with data security, privacy, and responsible AI practices (handling bias, model safety).
• Stakeholder Management: Influence senior executives and client stakeholders on AI roadmap adoption, ROI analysis, and vendor evaluation. 

Required Qualifications & Technical Skills

• Experience: 18+ years in software engineering, with at least 5-8 years specifically in AI/ML solution architecture.
• Generative AI: Expert-level understanding of LLMs (GPT, Llama, Mistral), Prompt Engineering, and Vector Stores (Pinecone, FAISS, Weaviate).
• Programming: Mastery of Python and its AI/ML ecosystem (TensorFlow, PyTorch, Scikit-learn).
• Architecture: Deep knowledge of Microservices, APIs, and containerization (Docker, Kubernetes).
• Cloud: Proficiency in Azure AI, AWS Bedrock, or Vertex AI.
• Domain Expertise: Prior experience in Banking/Financial Services (FS), Healthcare, or Retail is highly preferred.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or related quantitative field. 
• Exceptional communication and presentation skills, capable of explaining complex AI concepts to non-technical audiences.
• Proven capability to mentor senior engineers and lead cross-team initiatives.
• Strategic thinking with a strong focus on ROI and business impact. 

Why Join Us

• Work on cutting-edge Agentic AI and GenAI initiatives.
• Shape the AI strategy for global enterprise clients.
• High-visibility role with direct access to executive leadership.