Forward Deployed AI/ML Engineer

Lockheed Martin•Orlando, CA

7d•Remote

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.

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
3–5 years of experience in a software engineering, AI / ML engineering, solutions engineering, or consulting developer role
Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)
Familiarity with building LLM applications, RAG systems, or conversational AI workflows
Ability to translate business problems into technical solutions—and deliver them fast

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

Responsibilities

Build, test, and deploy end-to-end AI/ML models, pipelines, and API services in the customer's production environment using Python, SQL, etc.
Monitor, troubleshoot, and continuously optimize deployed solutions to meet performance-SLA and business KPIs
Serve as the primary technical point of contact for the assigned function and act as the LAIC consulting liaison; translate business requirements into concrete technical designs and articulate model behavior to non-technical audiences
Partner with data engineers, product managers, and business leaders to integrate AI/ML work into existing workflows and data infrastructure
Conduct rapid assessments for current and future opportunities
Quickly pivot to new priorities, evolving requirements, or emerging data sources while maintaining delivery cadence