Senior Software Engineer - Contract AI

Tech & AI Senior Software Engineer - Contract AI

Job ID: 108146

• Atlanta
• Boston
• Chicago
• Dallas
• Washington DC

Apply NowApply Later Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT As a Senior Software Engineer on the Contract AI product team, you will be a strong individual contributor building features, improving platform quality, and hardening the system for scale across multiple concurrent client deployments. You will work across the stack - from AI-powered extraction pipelines through to the analytics dashboard - and you will bring genuine GenAI engineering depth, not just familiarity. Contract AI is McKinsey's enterprise-grade platform for automated contract compliance - using Generative AI and rule-based logic to extract, compare, and evaluate contracts and invoices at scale. Deployed into client Azure cloud environments, the platform helps global enterprises identify and recover pricing leakage across large procurement portfolios. The engineering team builds and maintains the full stack: extraction pipelines, compliance evaluation logic, data ingestion workflows, and an analyst-facing dashboard. You will: develop and refine the AI pipeline that processes raw contracts and invoices - prompt engineering for document extraction, structured output parsing, clause normalization, and confidence scoring; translate business rules into deterministic evaluator code (Python/C#); build and maintain the library of compliance cases that power the platform's leakage detection; write production Python and C#/.NET backend code; develop TypeScript/React components in the analyst-facing dashboard; build and maintain data ingestion pipelines using Azure Data Factory. You will also implement agentic workflows using LangGraph, Semantic Kernel, or equivalent frameworks for multi-step contract reasoning tasks; stay current with the fast-moving agentic AI landscape and bring relevant innovations into the platform; write comprehensive tests (unit, integration, end-to-end); participate actively in code reviews; instrument services with structured logging and observability tooling; configure and tune the platform for new client data schemas and pricing structures; debug and resolve issues in cloud-hosted deployment environments; participate in technical design discussions; mentor junior engineers; identify and propose improvements to engineering practices. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

• 5+ years of software engineering experience delivering production systems.
• Strong Python - application development, type-checking, async patterns, testing (pytest) is required
• Proficiency in C#/.NET - .NET Core/8, REST APIs, object-oriented design are required
• Recent, hands-on experience integrating Generative AI into production software - Azure OpenAI, LangChain, Semantic Kernel, RAG pipelines, or structured extraction. This experience must be production use, not prototype or side-project
• Demonstrated familiarity with agentic AI frameworks (LangGraph, AutoGen, CrewAI, or equivalents)
• Experience with Azure cloud services: AKS, Azure Functions, CosmosDB, Postgres, Azure DevOps
• Experience with TypeScript/React in production
• Strong SQL skills: schema design, query optimization, Postgres preferred
• Engineering discipline: test-driven development, CI/CD pipelines, code reviews, containerization (Docker/Kubernetes)
• Experience with Azure Data Factory or equivalent ETL pipeline tooling
• Exposure to vision LLMs and document understanding (PDF/DOCX extraction at scale)
• Familiarity with procurement, contract management, or invoice processing domains

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our
unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve. Industries Capabilities

• Operations
• Technology

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $176,000 - $179,500 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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