Job DescriptionRole OverviewWe are looking for a visionary AI Technology Architect to lead enterprise-scale AI transformation initiatives. This role requires deep expertise in Generative AI, Agentic AI systems, AI infrastructure, and cloud-native architectures, with a strong focus on delivering scalable, high-performance AI solutions and driving business impact.
This role is critical to driving AI-first enterprise strategy, enabling next-generation capabilities through Agentic AI, LLM ecosystems, and edge intelligence while delivering measurable business value.
Key Responsibilities- Define and govern enterprise AI architecture including LLMs, RAG, Agentic AI, and Edge AI systems.
- Establish reference architectures for cloud-native AI, GPU-based inferencing, and distributed workloads.
- Architect and deploy LLM-powered solutions using RAG, embeddings, vector databases, and orchestration frameworks.
- Design Agentic AI workflows leveraging tools such as LangChain, LangGraph, Azure AI, and Databricks.
- Lead AI infrastructure strategy including GPU optimization and high-performance compute environments.
- Build and scale AI platforms across AWS, Azure, and GCP ecosystems.
- Lead development of advanced AI/ML models across NLP, computer vision, graph ML, and forecasting domains.
- Architect Edge AI solutions for low-latency, distributed decision-making systems.
- Establish governance for responsible AI, security, and compliance.
- Mentor teams and drive innovation and capability development.
Required Qualifications- 10+ years of experience in AI/ML, Data Science, or Technology Architecture.
- Strong expertise in Generative AI, LLMs, RAG, and Agentic AI systems.
- Proficient in Python, APIs, microservices, and data engineering frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies.
- Deep understanding of AI infrastructure including GPU optimization and benchmarking.
- Proven ability to lead large-scale transformation programs.
Preferred Qualifications & Experience- Experience in banking, telecom, healthcare, energy, or supply chain domains.
- Exposure to Edge AI, O-RAN architectures, and distributed systems.
- Advanced degree (PhD/Master's) in AI, Data Science, or related field.
- Experience in Enterprise adoption of AI platforms and architecture standards.
- Experience in Scalable deployment of AI solutions delivering measurable outcomes.
BenefitsAlong with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off
