Engineering Lead Microsoft Data & AI - L1
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 3, 2026.
Job Description
As Sr Eng or Architect on the Agentic System Layer (ASL) team, you will define and drive the technical architecture for agentic AI platform. Day-to-day responsibilities include: designing and evolving the architecture for multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines; establishing patterns for agent reliability, observability, and guardrails at production scale; leading technical design reviews and producing architecture decision records (ADRs); collaborating with ML engineers and software engineers to ensure platform components are scalable, secure, and maintainable; evaluating and integrating emerging agentic AI frameworks (e.g., LangGraph, CrewAI, Semantic Kernel, AutoGen); defining API contracts, data flow patterns, and integration standards across the AI platform ecosystem; mentoring engineers on best practices for building production-grade AI systems.
Top 3 Mandatory Skills and Experience:
1) 10+ years software architecture experience with at least 3 years designing AI/ML platform systems, including hands-on experience with LLM orchestration frameworks (LangChain, LangGraph, Semantic Kernel, or similar).
2) Deep expertise in distributed systems design, microservices architecture, event-driven patterns, and API design (REST/gRPC), with strong proficiency in Python and at least one of Java/Go/TypeScript
3) Production experience building and deploying agentic AI systems or LLM-powered applications at scale, including prompt engineering, tool-use patterns, RAG pipelines, and agent reliability/observability.
Nice to Have Skills:
Experience with Kubernetes/container orchestration, cloud platforms (AWS/Azure/GCP), MLOps/LLMOps tooling, vector databases (Pinecone, Weaviate, pgvector), knowledge graphs, airline/travel domain experience, TOGAF or similar architecture certification, experience with multi-agent system design patterns and agent evaluation/benchmarking frameworks.
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Areas of responsibility
Gathering of requirements :
Participate in gathering requirements for specific modules and ensure clear, structured documentation. Work across multiple business processes to capture linkages, dependencies, and required changes.
Solution Design :
Facilitate creation of application solution designs for a specific module under the guidance of the Project Manager, ensuring alignment with business requirements and technical standards.
Coding and Configuration :
Review the developed codes, resolve technical queries of the team for the assigned module and create consistent replication patterns, to ensure that the developed code aligns with the project standards.
Collaborate with project managers through all phases of software development life cycle.
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Testing and Trial Runs
Monitor and implement testing activities for assigned modules and conduct User Acceptance Testing (UAT).
Perform root-cause analysis to identify and troubleshoot recurring technical issues. Modify software codes to resolve errors, adapt to new hardware and software, enhance performance, and upgrade interfaces.
Implementation
Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks.
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Maintain Documentation
Ensure that all technical documents, flowcharts, layouts, and diagrams align with project objectives.
Collate and submit project specification, project progress, resource requirements and status reports for the review of Project Manager.
Stakeholder Collaboration
Engage with project managers, client stakeholders, and technical team to gather and refine requirements and define technical expectations.
Work with internal and external stakeholders to gather feedback, align deliverables, evaluate software-hardware interactions, and define specifications to meet performance requirements.
Innovation
Develop improved testing and programming practices using innovative methods to enhance automation and ensure the delivery of error free codes.
Mandatory Skills: Agentic AI.Experience: 5-8 Years
.The expected compensation for this role ranges from $60,000 to $135,000 .Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law. Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.