Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
MicrosoftManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in integration and platform architecture focus on designing and implementing seamless integration solutions and robust platform architectures for clients. They enable efficient data flow and optimise technology infrastructure for enhanced business performance.AI Engineer will be responsible for developing, maintaining, and optimizing AI-driven workflows with a strong focus on Agentic AI systems. The role emphasizes expertise in AI development tools such as GitHub Copilot and Cursor, with Python as the primary programming language.
Responsibilities Keywords to look for (any one or more match): AI Development, Agentic AI, GitHub Copilot, Cursor, Python, AI Workflow Automation, AI-assisted Coding, Large Language Models (LLMs), Prompt Engineering, AI Workflow Orchestration, AI Code Generation, AI Integration
4+ years of experience in AI development and workflow automation.
Strong expertise in AI tools such as GitHub Copilot and Cursor for coding assistance and workflow optimization.
Proven background in Agentic AI workflow development, including orchestration of autonomous AI agents.
Advanced proficiency in Python for AI solution design, development, and deployment.
Experience in integrating AI workflows into enterprise environments and optimizing for scalability and efficiency.
Knowledge of prompt engineering and fine-tuning AI models for specific tasks.
Ability to design and implement AI-driven automation pipelines.
Strong understanding of AI-assisted software development practices and productivity enhancement.
Experience collaborating with cross-functional teams to design and deploy AI solutions.
Familiarity with AI ethics, responsible AI practices, and compliance considerations.
Exposure to cloud-based AI environments (Azure AI, AWS AI/ML, GCP AI/ML) will be considered an advantage.
Relevant professional qualifications and certifications in AI/ML or Python programming will be considered an asset.
Mandatory Skill Sets:
AI/ML Engineer
Preferred Skill Sets:
AI/ML Engineer
Years of experience required
3 – 7 Years
Education qualification
BTech/BE/MTech from reputed institution/university as per the hiring norms
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Artificial Intelligence (AI)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Brainstorm Facilitation, Business Impact Analysis (BIA), Business Process Modeling, Business Requirements Analysis, Business Systems, Business Value Analysis, Cloud Strategy, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture (EA), Enterprise Integration, Evidence-Based Practice (EBP), Feasibility Studies {+ 41 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
July 9, 2026Based on 612 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $200K/year, with most offers between $162K and $236K (10th–90th percentile: $129K–$274K).
See the full AI Engineering salary breakdown →