
AI Principal Technical Consultant, AI Services
AHEAD
Posted 2026-05-22
USD 230,000 - USD 300,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
The Principal Technical Consultant, AI Services leads the design, build, and delivery of enterprise‑grade AI solutions. You will translate ambiguous business problems into scalable, secure AI systems while guiding engineering teams and interfacing with senior client stakeholders. This senior, hands‑on role blends deep software engineering expertise with applied AI consulting experience.
Role Snapshot
- Lead AI solution architecture
- Drive end‑to‑end AI delivery
- Define production‑grade AI standards
- Partner with client and internal stakeholders
- Mentor engineers and grow AI Services practice
- Shape pre‑sales technical proposals
Must-Have Requirements
- Python
- API development
- Cloud‑native development
- Data integration
- Workflow automation
- CI/CD pipelines
- Automated testing
- Version control
- Containerization
- Monitoring & observability
- Security controls
- Scalable deployment
- software engineering
- ML engineering
- AI solution architecture
- technical consulting
Nice-to-Have Signals
- Applied AI consulting experience
- Cloud platforms (Azure, AWS, GCP, Databricks, Snowflake)
- LLM frameworks and orchestration tools
- Vector databases
- Advanced degree in CS/Engineering/Data Science
- Familiarity with AI solution patterns such as RAG, agentic workflows, prompt management
- applied AI consulting
- cloud and data platform experience
- Advanced degree in computer science, engineering, data science, or applied mathematics
Work Setup
- Location: United States, United States
- Work mode: REMOTE
- Remote scope: COUNTRY_RESTRICTED
- Remote countries: United States
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Visa sponsorship
- Relocation
- Travel
- Security clearance
- Coding test
What You'll Likely Work On
- Architect and build enterprise AI, GenAI, and automation solutions
- Lead technical delivery across one or more client engagements
- Establish production‑grade AI engineering standards and MLOps practices
- Partner with strategy, business, and technical teams to align AI roadmaps with client goals
- Mentor engineers, review designs, and expand the AI Services practice
Good Fit If You Have
- Background in applied AI consulting or ML engineering
- Experience in high‑performing consulting or technology organizations
- Familiarity with cloud/data platforms such as Azure, AWS, GCP, Databricks, Snowflake
- Strong client‑facing communication and ability to clarify technical trade‑offs
Skills
- Python
- API development
- Cloud‑native development
- Data integration & pipelines
- Workflow automation
- CI/CD & automated testing
- Version control (Git)
- Containerization (Docker/Kubernetes)
- Monitoring & observability
- Security & governance
- Scalable deployment
- MLOps / LLMOps
Remote Eligibility
- United States