Job DescriptionIn the assigned Job Role of Senior Technologist, your Area Of Responsibility will be as below:• Evaluate project requirements and use cases to deliver high-quality, design, frameworks, and production-ready code work products.
• Design technology frameworks for complex scenarios, develop design patterns and reference implementations. Design reusable assets and conduct design reviews.
• Deliver high-quality code across applications, databases, and integrations.
• Optimize code, debug complex routines, and develop code generators and pilot implementations for reusable components, ensuring defect-free production-ready code.
• Work closely with other teams to ensure alignment on project goals and technology implementations.
• Provide technical guidance to peers and help maintain delivery consistency and code quality
• Identify proof of concepts (PoCs) for emerging programming independently develop PoCs for new technologies and complex modules ensuring timely delivery.
• Provide inputs for multi-technology and multi-language high risk deployments.
• Evaluate and implement technical services to meet high-quality service (QoS) requirements, ensuring alignment with business and IT key performance indicators (KPIs).
• Create reusable assets and deliver defect-free, impactful code to achieve quality benchmarks and Zero-Defect Delivery.
• Support complex projects by resolving technical challenges and reducing risk exposure.
• Stay updated on emerging technologies and industry trends to inform decision-making and enhance project outcomes.
• Support test automation and execute test strategies to drive quality improvements.
Your contribution to the team:The ability to apply expertise in designing scalable architectures and frameworks for complex technology challenges. Bring a strategic mindset to building reusable components and ensuring high-quality, defect-free delivery. Share knowledge and passion for mentoring by guiding peers and fostering technical excellence across projects. The ability to assess and adopt emerging technologies, translate them into PoCs and deployment ready solutions. Drive performance improvements through advanced engineering practices, meeting demanding service benchmarks. A knack for anticipating risks and resolving technical challenges, ensuring resilience and long-term project success.
Required Skill and ExperienceExperience in core development, with strong architecture and engineering knowledge with hands-on experience designing LLM-powered applications, AI agents, multi-agent systems, agent orchestration, Model Context Protocol (MCP) integrations, reusable AI Skills, Managed Agents, and Retrieval-Augmented Generation (RAG) solutions.
Proficiency in Python, FastAPI, LangChain and working experience AI Cloud Services like Azure AI Services, OpenAI.
Define the end-to-end architecture for enterprise GenAI and Agentic AI solutions
Design single-agent and multi-agent architectures, including orchestration, routing, delegation, handoffs, collaboration, and human-in-the-loop patterns
Design Model Context Protocol (MCP) integration architectures that securely expose enterprise data, APIs, tools, and capabilities to AI agents.
Define reusable Skills, tools, prompts, and agent capabilities that can be shared across multiple agents and business use cases.
Design solutions using Managed Agents / hosted agents and enterprise AI platform
Evaluate and recommend frameworks such as LangGraph, LangChain, AutoGen, Semantic Kernel, or equivalent agent orchestration frameworks.
Establish architectural controls for guardrails, security, observability, logging, tracing, governance, auditability, and responsible AI
Take ownership of individual stages of the AI development lifecycle (data pre-processing, model training, evaluation, optimization, or deployment) and understand how they connect end to end.
Collaborate with data scientists, software engineers, and product managers to understand project requirements, and flag technical feasibility concerns early.
Stay curious about advancements in generative AI research and share learnings with the team.
Follow and promote responsible AI practices, with awareness of bias mitigation, fairness, and traceability.
Participate in code reviews, both receiving feedback and reviewing peers' code, to help maintain quality standards.
Support POCs for new technologies, taking responsibility for defined parts of the work.
Comfortable working in a fast-paced and agile environment.
Good collaboration and communication skills.
Preferred Skill and ExperienceMaster's degree in computer science, Artificial Intelligence, or a related field (or equivalent experience).
Experience in cloud-based platforms like Azure & Microsoft / Azure AI services
Experience in Fine tuning Open-Source AI Models
Strong understanding of one or more Domain expertise and associated Industry standards
Industry-acclaimed External Certifications, if applicable
Active participation in Technology forums
Contribution to Open-Source Community.
Additional Required Qualifications• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
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
