Tech Project Lead: AI, Cloud & Client Delivery

Infosys Limited

Atlanta (GA)

Hybrid

USD 120,000 - 170,000

Full time

11 days ago

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Benefits offered by this job

Long-term/Short-term Disability
Health Reimbursement Accounts
Insurance (various)
401(k) plan

Job summary

Infosys Limited in Atlanta, GA is seeking a Technology Project Lead 2 to define objectives, align with business goals, and drive efficient project delivery. You will build strong client relationships and lead cross-functional teams to achieve outcomes.

The ideal candidate has expertise in MCP, agentic AI frameworks, LangChain, CrewAI and AutoGen, plus cloud experience (Azure/AWS/GCP) and a track record of QA transformation.

Qualifications

  • Bachelor's degree or foreign equivalent is required.
  • Experience with MCP and agentic AI frameworks is preferred.
  • Knowledge of LangChain, CrewAI and AutoGen is beneficial.
  • Experience with major cloud platforms (Azure, AWS, GCP).
  • Proven ability to drive QA transformation initiatives.

Responsibilities

  • Define project objectives and scope aligned with business goals and stakeholders.
  • Build and maintain client relationships with regular status updates.
  • Improve processes by reviewing deliverables and applying new methodologies.
  • Identify risks and implement mitigation strategies.
  • Develop estimates, monitor budgets, and optimize resources.
  • Support technical and commercial proposals aligned to client needs.
  • Plan resource allocation, conduct performance reviews, and foster team growth.
  • Manage scope changes and update requirements and contracts.

Skills

MCP
Agentic AI frameworks
LangChain
CrewAI
AutoGen
Azure/AWS/GCP cloud platforms
Quality Engineering transformation

Education

Bachelor's degree or foreign equivalent

Job description

Infosys Limited in Atlanta, GA is seeking a Technology Project Lead 2 to define objectives, align with business goals, and drive efficient project delivery. You will build strong client relationships and lead cross-functional teams to achieve outcomes.

The ideal candidate has expertise in MCP, agentic AI frameworks, LangChain, CrewAI and AutoGen, plus cloud experience (Azure/AWS/GCP) and a track record of QA transformation.

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