AI Engineer

Netrolynx AI; United States; On-site; USD 150,000 - 260,000; Full time

Job summary

KPMG is seeking a Manager, AI Engineer to lead the design and delivery of enterprise AI solutions in advisory engagements. In this client‑facing role you will partner with executives, business stakeholders, and technical teams to translate priorities into measurable AI outcomes across organizations in the United States.

You will guide solution planning, oversee architecture, model development, and deployment, while mentoring staff and collaborating with alliance partners to ensure secure,

Qualifications

• Bachelor’s degree in computer science, data science, engineering, or related field is required; master’s preferred.
• At least five years of AI/ML, data engineering, or cloud solution engineering experience; two+ years in a consulting/client-facing leadership role.
• Experience with two major cloud AI platforms (Azure, AWS, Google Cloud).
• Strong Python skills or equivalent, plus API, microservices, containers, and CI/CD pipelines.
• Familiarity with MLOps, model monitoring, retraining pipelines, drift detection, and data engineering.
• Experience with conversational/generative AI, chatbots, or AI-powered automation.
• Knowledge of AI security, privacy, governance, and responsible AI frameworks; cloud AI/ML certifications a plus.
• Excellent communication and leadership skills; travel willingness; US work authorization without sponsorship.

Responsibilities

• Design and develop end-to-end AI/ML solutions using cloud AI services.
• Define architectures integrating LLMs, generative AI, traditional ML, and enterprise platforms.
• Manage project activities across architecture, model development, integration, and testing with MLOps and security best practices.
• Partner with clients to translate business objectives into technical solutions and measurable outcomes.
• Lead workshops with executives and stakeholders to develop AI roadmaps.
• Mentor junior engineers and collaborate with alliance partners; ensure timely deliverables and risk management.

Skills

Python programming

Cloud platforms knowledge

MLOps

AI/ML leadership

Communication skills

Education

Bachelor's degree in CS/Data Science/Engineering or related field

Master's degree preferred

Tools

Azure AI/ML

AWS Bedrock or SageMaker

Vertex AI

CI/CD pipelines

Containers

Job description

KPMG is currently seeking a Manager, AI Engineer to join its Advisory Services practice. In this client-facing role, you will lead the design and delivery of enterprise AI solutions while helping organizations turn business priorities into practical, measurable outcomes.

About The Company

KPMG’s Advisory practice works with organizations navigating transformation and change. The team brings together professionals with varied expertise to help clients address complex challenges and pursue new opportunities. KPMG supports its people with learning and career development opportunities, a world-class training facility, and access to leading market tools. A collaborative, team-driven culture encourages professionals to build their capabilities, contribute to meaningful work, and continue developing their careers.

About The Role

As Manager, AI Engineer, you will guide AI and machine learning engagements from solution planning through implementation and testing. You will work with executives, business stakeholders, technical teams, and alliance partners to shape AI roadmaps and deliver solutions aligned with enterprise strategies. The role combines hands-on technical expertise with project leadership, client relationship management, and team development. You will help ensure that solutions are secure, scalable, compliant, and designed for adoption in complex enterprise environments.

Qualifications

A bachelor’s degree in computer science, data science, engineering, or a related field is required; a master’s degree is preferred. Candidates should have at least five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, including at least two years in a consulting or client-facing leadership role. A record of delivering enterprise-scale AI/ML solutions and integrating them with core business systems is essential. Applicants should have hands‑on experience with at least two major cloud AI platforms, such as Azure AI/ML, AWS Bedrock or SageMaker, and Google Cloud Vertex AI. Strong Python skills or experience with other relevant programming languages, API development, microservices, containers, and CI/CD pipelines are expected. Familiarity with MLOps practices, including model monitoring, retraining pipelines, and drift detection, as well as modern data engineering, is important. Experience with conversational AI, generative AI, chatbots, or AI‑powered automation is valuable, as is knowledge of AI security, privacy, governance, and responsible AI frameworks. Cloud AI/ML certifications are a plus. Excellent communication, problem‑solving, client relationship, and technical leadership skills are required, along with the ability to explain complex concepts to executives. Willingness and ability to travel are required. Applicants must be authorized to work in the United States without current or future employment‑based visa sponsorship. KPMG does not provide sponsorship for this opportunity.

Responsibilities

Design and develop end‑to‑end AI/ML solutions using cloud AI services, and define architectures that integrate large language models, generative AI, traditional machine learning, and enterprise platforms. Manage project activities across architecture, model development, integration, and testing, applying MLOps, security, compliance, and scalability best practices. Partner with clients to translate business objectives into technical solutions and measurable outcomes. Lead workshops and design sessions with executives, business stakeholders, and technical teams to develop AI roadmaps. Oversee deliverable quality and timelines, proactively manage risks and dependencies, and guide projects toward successful adoption. Mentor junior engineers and consultants, encourage technical excellence and continuous learning, and collaborate with Microsoft, Google, AWS, Salesforce, and other strategic alliance partners. Assess emerging AI technologies, frameworks, and tools for client needs, while acting with integrity and contributing to a respectful workplace.

Benefits

KPMG offers a comprehensive total rewards package, with benefits based on eligibility. Programs may include medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and personal well‑being resources supporting mental health. Eligible employees receive paid time off based on job classification, standard work hours, and years of service, as well as designated holidays and two annual firmwide breaks. California salary range: $153,710–$267,030. Compensation varies by location and is determined using relevant factors, including skills, responsibilities, experience, education, certifications, and market considerations.

Equal Opportunity

KPMG is an equal opportunity employer and complies with applicable federal, state, and local recruitment and hiring laws. All qualified applicants are considered without regard to legally protected characteristics. Qualified applicants with arrest or conviction records will be considered in accordance with applicable fair‑chance laws.