Agentic AI Architect

Wipro•Arlington, TX

2d•Hybrid

About The Position

Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging its holistic portfolio of capabilities in consulting, design, engineering, and operations, Wipro helps clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, Wipro delivers on the promise of helping its customers, colleagues, and communities thrive in an ever-changing world. This role serves as a Senior Technical Leader and hands-on engineer for BE&O’s next-generation experimentation and analytics platform. As a Lead Software Engineer, you will lead through technical influence, architectural judgment, and execution excellence to help modernize the platform and deliver scalable, secure, cloud-native capabilities for global business users.

Requirements

Agentic AI
Experience: 5-8 Years

Responsibilities

Design, develop, and deploy AI-powered products, intelligent agents, and agentic workflows utilizing Large Language Models (LLMs), retrieval systems, orchestration frameworks, tool-calling patterns, and context-aware workflows.
Architect and implement advanced agentic systems incorporating planning, reasoning loops, memory management, grounding, evaluation frameworks, safety mechanisms, and human-in-the-loop controls.
Lead the transition of AI solutions from proof-of-concept to production by establishing best practices for reliability, observability, performance, security, governance, and cost optimization.
Develop scalable AI applications and developer productivity solutions using modern AI frameworks, SDKs, and orchestration platforms.
Serve as a hands-on technical contributor, designing, coding, testing, debugging, and delivering production-quality software across the full engineering lifecycle.
Build and evolve scalable services, APIs, and analytical capabilities using modern engineering practices, cloud platforms, and data technologies such as AWS, Azure, Databricks, Spark/PySpark, Python, Java and related frameworks.
Partner closely with product managers, engineering teams, architects, data scientists, QA, security, and operations teams to translate business and functional requirements into robust technical solutions.
Coordinate and lead technical execution across globally distributed engineering teams, ensuring alignment across regions, time zones, dependencies, design decisions, and delivery milestones.
Drive architecture and design reviews, code reviews, technical decision-making, and engineering tradeoff discussions to ensure solutions are secure, resilient, observable, performant, maintainable, and aligned with enterprise standards.
Drive engineering excellence through CI/CD automation, DevSecOps practices, automated testing, and AI-assisted software development workflows.
Establish reusable platforms, frameworks, accelerators, and engineering capabilities that improve developer productivity and accelerate solution delivery across teams.
Identify opportunities to improve platform scalability, reliability, developer productivity, operational readiness, and speed of delivery through modernization, automation, reusable patterns, and engineering best practices.
Provide technical mentorship to junior and mid-level engineers through design guidance, code review, pairing, knowledge sharing, and modeling strong engineering judgment.
Navigate ambiguity in complex initiatives by clarifying technical direction, decomposing large problems, identifying risks, and driving alignment across stakeholders.
Champion a culture of engineering excellence, continuous improvement, ownership, collaboration, and high-quality delivery across the team and partner organizations.