Forward Deployed AI Engineer - Technology & Experience (TechEX)

About the Role

You will lead the design and development of production-ready software systems across infrastructure, integrations, data, and applications. You will be responsible for building systems that are reliable, scalable, and maintainable, while incorporating AI capabilities where they meaningfully improve outcomes.

This role is best suited for engineers who want to stay close to the work-writing code, deploying systems, and solving real-world problems-while also shaping how solutions are delivered.

What You Will Do

Software Engineering & System Design

• Design, build, and deploy full-stack applications and distributed systems in client environments
• Develop services, APIs, data pipelines, and user-facing applications that support core business operations
• Integrate complex systems using REST APIs, webhooks, event-driven architectures, and custom connectors
• Ensure systems are scalable, secure, and maintainable across cloud environments (AWS, Azure, GCP)

AI-Enabled Engineering

• Incorporate AI/LLM capabilities into applications where they provide clear value (e.g., automation, decision support, user interfaces)
• Build and deploy AI-powered features such as intelligent workflows, copilots, and agent-based systems
• Develop prompting strategies and orchestration patterns to support production use cases
• Leverage AI to improve engineering workflows, including testing, automation, and development acceleration

Client Delivery & Problem Solving

• Work directly with clients to understand business needs and translate them into technical solutions
• Move quickly from prototype to production, iterating based on user feedback
• Communicate technical concepts clearly to both technical and non-technical stakeholders

Operational Intelligence & Platforms

• Build platforms that unify fragmented data, workflows, and systems into usable applications
• Design and implement workflow automations across systems and teams
• Support production systems through monitoring, debugging, and continuous improvement

Engineering Excellence

• Write clean, maintainable, production-quality code
• Contribute to reusable patterns, shared libraries, and platform capabilities
• Operate in an Agile environment, balancing speed with long-term quality
• Mentor team members and contribute to a strong engineering culture

What We're Looking For

We are looking for engineers who care deeply about building high-quality software and solving real problems.

You are likely a strong fit if you:

• Identify as a software engineer first, not just an AI specialist
• Enjoy building systems from the ground up and owning them through production
• Thrive in ambiguous, fast-moving environments
• Are comfortable working across multiple layers of the stack
• Care about the end user and whether your solutions create real value
• Can balance speed, pragmatism, and engineering rigor

Qualifications

Required

• 5-8+ years of experience in software engineering, platform engineering, or related roles
• Strong experience building and deploying production systems in cloud environments (AWS, Azure, GCP)
• Solid foundation in computer science fundamentals (data structures, algorithms, system design)
• Experience with API design, distributed systems, and system integration
• Ability to operate autonomously in client-facing environments
• Strong communication skills with both technical and non-technical stakeholders
• Willingness to travel and embed with clients (25-50%)

Technical Experience

• Languages: Python, TypeScript/JavaScript, C#, Java, or similar
• Frontend: React, Angular, or similar frameworks
• Backend: API development, microservices, service-oriented architecture
• Data: PostgreSQL, SQL Server, MongoDB, data pipelines
• Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, Terraform, CI/CD pipelines
• Integration Patterns: REST, GraphQL, event-driven systems

AI Experience

• Experience integrating LLMs or AI capabilities into applications
• Familiarity with prompt engineering, agent-based systems, or RAG pipelines
• Experience using AI tools to enhance development workflows and automation

Preferred

• Experience with workflow orchestration tools (Temporal, Airflow, Inngest)
• Familiarity with data platforms (Databricks, Snowflake)
• Prior consulting or forward deployed engineering experience
• Exposure to operationally complex industries (e.g., logistics, utilities, field services)

How You Will Work

• Spend the majority of your time building and shipping software
• Work in small, high-ownership teams
• Move fluidly between architecture, coding, deployment, and user collaboration
• Deliver iteratively, with a strong focus on real-world outcomes

Why This Role Is Compelling

• Build real systems used in real business environments
• Maintain strong engineering depth while applying modern AI capabilities
• Own solutions end-to-end, from idea to production
• Work across a wide variety of industries, problems, and technologies
• Help shape how West Monroe delivers engineering-led, AI-enabled solutions

Compensation

Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.

• Seattle or Washington, D.C.: $171,300-$201,500 USD
• Los Angeles: $179,400-$211,100 USD
• New York City or San Francisco: $187,600-$220,700 USD
• A location not listed above: $163,100-$191,900 USD

Benefits

• Employees (and their families) are covered by medical, dental, vision, and basic life insurance.
• Employees are able to enroll in our company's 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses.
• Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year.
• Eligibility for ten weeks of paid parental leave will also be available upon hire date.