Forward Deployed AI/ML Engineer Sr

Lockheed MartinFort Worth, CO
2dRemote

About The Position

Are you ready to unlock the power of AI and machine learning to drive business success? We're seeking a highly skilled AI/ML Engineer to join our team as a trusted technical liaison between our customers and our consulting practice. As a remote member of a dynamic team, you'll have the opportunity to design, develop, and productionize machine-learning solutions that make a real impact. With high ownership and rapid impact, this role is perfect for a technically-savvy, business-oriented individual looking to accelerate their career at the intersection of AI and real-world business problems. What’s In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, learn more about Lockheed Martin’s comprehensive benefits package here. Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you! Who are you: You are a highly skilled AI/ML Engineer with a strong technical background and business acumen.

Requirements

  • Strong programming skills in languages such as Python, SQL, etc.
  • Experience with machine learning frameworks and tools
  • Excellent communication and stakeholder engagement skills
  • Ability to work independently and as part of a remote team
  • Strong problem-solving skills and adaptability in a fast-paced environment
  • Experience with cross-functional collaboration and partnership with data engineers, product managers, and business leaders
  • Strong understanding of AI/ML concepts and ability to translate technical designs into business requirements
  • Experience building and deploying solutions for finance and business operations customers in particular
  • Programming: Python – such as but not limited to : pandas, scikit‑learn, PyTorch/TensorFlow
  • ML Frameworks such as but not limited to : experience training, evaluating, and tuning models
  • Software experience or engineering : such as but not limited to Git, unit testing, CI/CD basics, Docker containers
  • Some knowledge of Data Science or Engineering Fundamentals
  • 2–5 years of professional experience building or deploying AI/ML solutions (consulting, startup, or large enterprise)

Nice To Haves

  • Prior exposure to client-facing or embedded roles such as but not limited to consulting projects, on-site engineering, cross-functional product teams is highly valued
  • Background in SaaS, customer experience, support operations, or manufacturing systems
  • Experience deploying AI in mission-critical environments
  • Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, Servicenow, SAP, Oracle)
  • Bachelor's/Master's in Computer Science, Electrical Engineering, Statistics, or relevant field.
  • SQL: Strong query-writing & data-wrangling
  • Excellent written & verbal communication; can explain technical concepts to senior business leaders
  • Strong stakeholder-management instincts; comfortable navigating matrixed organizations
  • Experience building and deploying solutions for finance and business (F&BO) customers

Responsibilities

  • Building, testing, and deploying end-to-end AI/ML models, pipelines, and API services in the customer's production environment using Python, SQL, etc.
  • Monitoring, troubleshooting, and continuously optimizing deployed solutions to meet performance-SLA and business KPIs
  • Serving as the primary technical point of contact for the assigned function and act as the LAIC consulting liaison; translating business requirements into concrete technical designs and articulate model behavior to non-technical audiences
  • Partnering with data engineers, product managers, and business leaders to integrate AI/ML work into existing workflows and data infrastructure
  • Conducting rapid assessments for current and future opportunities
  • Quickly pivoting to new priorities, evolving requirements, or emerging data sources while maintaining delivery cadence

Benefits

  • Medical
  • Dental
  • Vision
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • 401(k) match
  • Flexible Spending Accounts
  • EAP
  • Education Assistance
  • Parental Leave
  • Paid time off
  • Holidays
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