Principal Technical Consultant, AI Services

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and construct enterprise-level AI solutions.

• Oversee technical delivery across various client projects.

• Set production-quality AI engineering benchmarks.

• Collaborate with strategy, business, and technical teams.

• Guide teams and develop the AI Services practice.

⛳️ Requirements

• Generally 7–12+ years of experience in software engineering, ML engineering, applied AI, data science engineering, AI solution architecture, technical consulting, or enterprise technology delivery.

• Strong practical engineering experience, particularly with Python, APIs, cloud-native development, data integration, workflow automation, and enterprise system integration.

• Proficient in designing, building, and deploying production-level AI, GenAI, ML, automation, or advanced analytics solutions.

• Familiarity with AI solution patterns such as RAG, LLM application design, agentic workflows, orchestration, model integration, vector databases, evaluation, guardrails, and observability.

• Solid understanding of contemporary engineering practices, including CI/CD, automated testing, version control, containerization, monitoring, reliability, security, and scalable deployment.

• Capability to lead technical teams, assess designs and code, mentor engineers, and ensure delivery quality across intricate workstreams.

• Excellent client-facing communication skills, including the ability to clearly convey technical trade-offs to engineering teams, executives, and non-technical stakeholders.

• Ability to navigate ambiguous environments, organize technical challenges, make sound architectural decisions, and steer teams towards practical solutions.

• Experience in applied AI consulting, advanced analytics consulting, ML engineering, AI product development, or enterprise AI platform delivery.

• Background from a high-performing consulting, technology, AI, cloud, data, or software engineering organization.

• Familiarity with cloud and data platforms such as Azure, AWS, GCP, Databricks, Snowflake, Kubernetes, or similar enterprise platforms.

• Experience with LLM frameworks, orchestration tools, vector databases, model serving, ML platforms, or AI governance tooling.

• Track record of transitioning AI solutions from prototypes or pilots to production environments.

• Experience in supporting technical pre-sales, solution shaping, architecture proposals, or providing executive-level technical advisory.

• An advanced degree in computer science, engineering, data science, applied mathematics, or a related field is a plus.

🏝️ Benefits

• Medical, Dental, and Vision Insurance

• 401(k)

• Paid company holidays

• Paid time off

• Paid parental and caregiver leave

• Plus more! See benefits here for additional details.