[Remote] Sr AI Engineer

Note: The job is a remote job and is open to candidates in USA. Kopius is a technology consulting and digital services company focused on digital strategy, design, and engineering. The company is seeking a Senior AI Engineer to lead AI/ML architecture, solution development, client delivery, technical documentation, and pre-sales support across internal and customer-facing engagements.

Responsibilities

• Collaborate across multiple teams, projects, and clients simultaneously — moving fluidly between strategy, architecture, hands-on delivery, and pre-sales conversations
• Work closely with sales, pre-sales, and delivery teams to solicit feedback on customer trends and AI industry needs, and propose innovation ideas for solution offerings Kopius can sell to new and existing customers
• Serve as the technical lead for researching and building AI/ML solutions — responsible for overall architecture and technical guidance
• Balance hands-on technical contributions to client projects with strategic AI solution development and sales support, ensuring both execution excellence and innovation
• Act as technical lead for dynamic development teams using Agile methodologies to deliver innovative AI solutions, both internal and customer-facing
• Partner with the Solutions and Sales teams to identify AI opportunities, recommend viable technical approaches, and prototype solutions
• Represent AI technical expertise in pre-sales engagements, articulating complex AI solutions to prospective clients
• Create detailed technical documentation including architecture diagrams, data flows, implementation guides, and as-built project documentation
• Establish and maintain technical standards, best practices, and architectural governance for AI project delivery
• Evaluate emerging AI technologies and recommend adoption strategies that deliver competitive advantages
• Conduct architecture review sessions and provide technical guidance to development teams, including peer collaboration, mentorship, and fostering knowledge sharing and continuous learning within Kopius
• Develop proof-of-concepts / proof-of-values to validate AI architectural decisions and mitigate technical risks
• Build strong relationships with clients and technology partners throughout the project lifecycle
• Serve as the technical escalation point for complex AI issues requiring architectural expertise

Skills

• Strong written and verbal communication skills, with the ability to engage directly with client engineers, product managers, and executive stakeholders
• Collaborative, flexible, and approachable — genuinely enjoys working across multiple teams, projects, and clients simultaneously, and brings positive energy to every interaction
• Self-directed and proactive — able to hit the ground running with minimal ramp and operate independently across engagements
• Executive presence — adept at interfacing with clients, Kopius executives, and investors as required
• Thrives in a team environment, actively contributes to collaboration, and fosters a sense of community
• Excellent problem-solving and analytical skills, with a keen eye for detail and a proactive approach to issue resolution
• Excellent technical documentation skills with a proven history of documenting complex AI solutions
• Strong sense of accountability and ownership over technical outcomes and delivery quality
• Senior-level, hands-on AI/ML engineering experience with deep production expertise
• Strong hands-on experience with Python for AI/ML development
• Deep, hands-on experience with the Microsoft Azure AI stack — Azure OpenAI Service, Azure AI / Cognitive Services, Azure Machine Learning, and Azure AI Foundry
• Hands-on experience with LLMs and Generative AI — RAG (Retrieval-Augmented Generation) patterns, prompt engineering, and AI frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar)
• Experience with model deployment, optimization, and MLOps — CI/CD for ML, model monitoring, and performance management
• Hands-on experience with vector databases and embeddings (Azure AI Search, Pinecone, Weaviate, or similar)
• Understanding of AI evaluation methods, guardrails, and responsible AI practices
• Experience designing and building scalable AI-ready architectures — data pipelines, service orchestration, and integration patterns
• Strong foundation in API design and development (REST, GraphQL, gRPC)
• Familiarity with relational and NoSQL databases and their integration into modern AI applications
• Experience supporting sales, pre-sales, and delivery to scope AI development projects or provide ROM (rough order of magnitude) estimates in sales pursuits
• Currently set up as an independent contractor in the U.S. (EIN or SSN, ability to invoice, manage own taxes and insurance)
• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field (or equivalent professional experience)
• Applicants must be legally authorized to work in the United States on a permanent basis without requiring sponsorship, transfer, or extension of work authorization now or in the future
• *Nice to have:* Hands-on experience with additional cloud AI stacks (AWS Bedrock, SageMaker, Google Vertex AI) — the broader the exposure, the better
• *Nice to have:* Experience with agentic AI frameworks and multi-agent architectures
• *Nice to have:* Experience with fine-tuning, model distillation, or custom model training
• *Nice to have:* Experience integrating AI capabilities into full-stack applications (Python, Node.js, .NET)
• *Nice to have:* Containerization and orchestration experience (Docker, Kubernetes, AKS)
• *Nice to have:* Prior consulting or client-facing engineering experience with enterprise clients

Benefits

• Remote within the United States (any location)

Company Overview