AI Solutions Consultant

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Job Title: AI Solutions Consultant

Location: Charlotte NC OR Minneapolis MN (onsite)

Type: Contract

Key Responsibilities

Product Go-to-Market:

Lead platform releases feature rollouts and adoption initiatives in partnership with product and engineering teams.
Architect and execute go-to-market strategies spanning onboarding training documentation and support.
Own the rollout and adoption of new platform features and capabilities across stakeholder groups.
Track KPIs such as adoption reliability latency and business impact to guide continuous improvement.
Translate platform updates into clear actionable guidance for both technical and non-technical audiences.

Customer Enablement & Training:

Lead interactive enablement programs-including live workshops pair-programming sessions office hours and hands-on technical engagements.
Help teams integrate AI tools and capabilities into day-to-day development practices.
Create and maintain enablement materials SDK resources best practices and repeatable playbooks.
Scale individual training engagements into enterprise-wide digital learning content and self-service models.
Build a deep understanding of customer pain points and workflows to tailor adoption strategies and reduce time-to-value.

Product Strategy & Feedback Loop:

Establish tight feedback loops between end-users product and engineering teams-capturing insights that meaningfully inform roadmap decisions.
Translate customer needs into product direction: define requirements scope solutions and influence implementation.
Advocate for usability improvements and enhancements grounded in field observations and customer experience.
Validate fixes test new features and conduct quality checks to proactively surface gaps in stability or performance.
Maintain empathy for how developers work and champion features that improve the end-user experience.

Stakeholder Relationship & Communication

Build strong relationships with business stakeholders end users and product teams; serve as a trusted technical advisor.
Communicate complex technical concepts clearly and with nuance across diverse audiences.
Produce executive-ready updates metrics narratives and adoption insights.

Governance Security & Compliance

Ensure alignment with model governance responsible AI practices data protection and platform security controls.
Contribute to documentation and artifacts for validation testing approvals and audit readiness.
Partner with risk compliance and security teams to ensure safe and compliant delivery of AI capabilities.

Required Qualifications:

Bachelors degree in a STEM field or equivalent hands-on experience.
4 years in artificial intelligence solutions AI consulting product/solution management program delivery or technical product ownership for AI/ML platforms-or equivalent experience delivering AI/ML outcomes at scale.
Strong coding proficiency (Python JavaScript/TypeScript or similar).
Proven ability to communicate complex technical topics to diverse audiences.
Strong customer-service orientation and comfort facilitating interactive sessions and workshops.
Demonstrated ability to learn and adapt quickly in ambiguous fast-changing environments.
Strong technical acumen with the ability to build deep relationships with engineering and business stakeholders.
Customer empathy and a bias toward execution-quickly identifying solutions and advocating for improvements to meet user needs.

Desired Qualifications

Education

Masters degree or higher in computer science engineering data science or a related field.

Technical Expertise

Hands-on experience developing or deploying GenAI or agentic AI systems (LLMs RAG tools/agents orchestration frameworks).
Familiarity with AI/ML platforms and cloud infrastructure (Azure AWS GCP).
Experience with MLOps/LLMOps practices (model registry CI/CD evaluation guardrails monitoring).
Proficiency with OpenAI Azure OpenAI Hugging Face LangChain/LangGraph vector databases and related frameworks.
Experience integrating LLM-powered workflows or agent-based systems into production environments.
Customer Enablement Experience
Experience leading technical workshops internal enablement programs developer onboarding or training initiatives.
Background in product management technical product ownership customer success or technical program delivery.
Ability to distill complex topics into clear playbooks documentation and learning materials. Familiarity with collaboration and workflow tools such as Jira Confluence and ServiceNow.

Job Expectations

Hybrid work schedule.
Occasional travel for stakeholder workshops training and program reviews.

Job Title: AI Solutions Consultant Location: Charlotte NC OR Minneapolis MN (onsite) Type: Contract Key Responsibilities Product Go-to-Market: Lead platform releases feature rollouts and adoption initiatives in partnership with product and engineering teams. Architect and execute go-to-market str...