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