Forward Deployed AI Engineer

Forward Deployed AI Engineer

Position: Forward Deployed AI Engineer

Experience Required: 7+ Years
Employment Type: Contract
Location: Remote – USA

About the Role

We are seeking a highly talented Forward Deployed AI Engineer to work at the intersection of Artificial Intelligence, software engineering, and enterprise transformation. This role is designed for engineers who thrive on solving complex customer problems, rapidly prototyping AI solutions, and deploying production-grade AI systems that deliver measurable business impact.

The ideal candidate combines the skills of an AI engineer, solutions architect, and technical consultant. You will work directly with business stakeholders, product teams, data teams, and engineering organizations to identify opportunities where AI can create value and then build, deploy, and scale those solutions.

This role requires someone who can move quickly from ambiguity to execution — understanding business workflows, designing AI architectures, building prototypes, and taking solutions into reliable production environments.

Key Responsibilities

AI Solution Design & Deployment

• Partner with enterprise customers and internal teams to identify high-impact AI use cases.
• Translate complex business problems into scalable AI-powered solutions.
• Design and implement Generative AI applications using Large Language Models (LLMs), AI agents, and automation frameworks.
• Build production-ready AI systems including prototypes, integrations, APIs, and enterprise workflows.
• Deploy AI solutions into customer environments while ensuring reliability, security, and scalability.
• Own AI implementations from discovery through deployment and continuous improvement.

Generative AI & LLM Engineering

• Develop advanced applications powered by LLMs including AI assistants, copilots, intelligent automation, and agent-based systems.
• Design and optimize Retrieval-Augmented Generation (RAG) architectures.
• Build AI workflows involving document intelligence, knowledge retrieval, reasoning, and decision support.
• Develop prompt strategies, evaluation frameworks, and optimization techniques to improve AI performance.
• Experiment with emerging AI models, tools, and frameworks to identify practical enterprise applications.

Customer-Facing Technical Leadership

• Act as a trusted technical partner for customers adopting AI technologies.
• Lead technical discovery sessions, architecture discussions, and solution demonstrations.
• Understand customer data, systems, and workflows to design effective AI implementations.
• Communicate complex AI concepts clearly to executives, engineers, and business users.
• Gather customer feedback and translate insights into product and engineering improvements.

Engineering & Production Readiness

• Build scalable backend services, APIs, and AI infrastructure components.
• Integrate AI solutions with enterprise applications, databases, and third-party platforms.
• Implement monitoring, evaluation, testing, and continuous improvement processes.
• Collaborate with engineering teams on production deployment, performance optimization, and reliability.
• Ensure AI solutions follow best practices around security, privacy, governance, and responsible AI.

Required Qualifications

• 7+ years of experience in software engineering, AI engineering, machine learning engineering, solutions engineering, or related roles.
• Proven experience building and deploying AI-powered applications in production environments.
• Strong expertise in Generative AI, Large Language Models (LLMs), and AI application architecture.
• Advanced programming skills in Python with strong software engineering fundamentals.
• Experience working with LLM APIs and platforms such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, or equivalent.
• Strong understanding of:
• Prompt engineering
• Embeddings
• Vector search
• RAG architectures
• AI agents
• Model evaluation and optimization
• Experience building AI applications using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
• Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or equivalent.
• Experience designing APIs, microservices, and cloud-native applications.
• Experience deploying applications using AWS, Azure, or Google Cloud.

Preferred Qualifications

• Experience working in a Forward Deployment Engineer, Solutions Engineer, Customer Engineer, or AI Consultant role.
• Experience partnering directly with enterprise customers on technical implementations.
• Experience taking AI prototypes from experimentation to production.
• Experience building autonomous AI agents and multi-agent workflows.
• Experience with enterprise knowledge systems and data integration.
• Experience with MLOps, model monitoring, evaluation pipelines, and AI governance.
• Background working with high-growth technology companies or AI-first organizations.
• Strong understanding of enterprise architecture and digital transformation initiatives.

Technical Skills

Artificial Intelligence

• Generative AI
• Large Language Models (LLMs)
• AI Agents
• Retrieval-Augmented Generation (RAG)
• Natural Language Processing
• Prompt Engineering
• AI Evaluation & Optimization

Programming & Engineering

• Python
• SQL
• REST APIs
• Microservices
• Backend Engineering
• System Design

AI Frameworks & Platforms

• OpenAI APIs
• Anthropic APIs
• Azure OpenAI
• LangChain
• LlamaIndex
• Semantic Kernel
• PyTorch / TensorFlow

Cloud & Infrastructure

• AWS / Azure / Google Cloud
• Docker
• Kubernetes
• CI/CD
• MLOps Platforms
• Data Pipelines

Ideal Candidate Profile

You are someone who:

• Loves solving ambiguous, high-impact problems.
• Can move seamlessly between business conversations and deep technical implementation.
• Enjoys working directly with customers and stakeholders.
• Builds quickly but understands the importance of production-quality engineering.
• Is passionate about applying AI to solve real-world business challenges.
• Can take ownership of projects from idea to measurable business outcomes.

Contract Details

Employment Type: Contract
Location: Remote – Canada
Experience Level: Senior / Staff Level
Engagement: Long-term AI transformation and enterprise AI deployment initiatives

Note: This role is ideal for engineers who want to be at the forefront of enterprise AI adoption — combining software engineering excellence, AI innovation, and customer impact.