Sr. AI Engineer
Medasource
Senior Generative AI Engineer Location: Remote
Duration: 6-Month Contract
Overview Our client is seeking a Senior Generative AI Engineer to lead the evaluation, design, and implementation of enterprise AI solutions. This is a hands-on consulting role focused on helping the organization identify high-value AI use cases, assess risks and governance, and build scalable AI solutions across the business. The ideal candidate combines a strong Data Science background with deep experience in Generative AI, cloud platforms, and modern data ecosystems. This individual will partner with technical and business stakeholders to recommend best practices, develop proof-of-concepts, and establish an enterprise AI strategy.
Responsibilities
- Consult with business and technology teams to identify and prioritize Generative AI use cases.
- Design and develop AI-powered solutions that improve business processes and decision-making.
- Evaluate AI platforms, tools, and emerging technologies to recommend the best solutions for enterprise adoption.
- Advise leadership on AI governance, security, compliance, ethical AI, and potential implementation risks.
- Build and deploy AI models and applications leveraging enterprise data platforms.
- Develop proofs of concept (POCs) and pilot solutions to validate business value.
- Collaborate with data engineering teams to ensure AI solutions integrate seamlessly with existing data architecture.
- Partner with stakeholders to establish AI best practices, standards, and adoption strategies.
- Stay current on rapidly evolving AI technologies and provide recommendations for continuous innovation.
- Hands-on experience designing and implementing Generative AI solutions in an enterprise environment.
- Experience consulting with business stakeholders on AI strategy and implementation.
- Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration, and modern AI architectures.
- Experience working across cloud environments including Microsoft Azure and AWS .
- Experience with:
- Microsoft AI ecosystem (Azure AI, Azure OpenAI, Microsoft Fabric, Microsoft Copilot, etc.)
- Snowflake
- Microsoft Fabric
- Curo (or similar enterprise data platform)
- Experience integrating AI solutions with modern data platforms and analytics environments.
- Strong understanding of AI governance, model risk, privacy, and responsible AI practices.
- Excellent communication skills with the ability to present technical concepts to executive and non-technical audiences.
- Microsoft Azure & Microsoft AI Suite
- AWS
- Snowflake
- Microsoft Fabric
- Curo
- Python
- Large Language Models (OpenAI, Anthropic, Gemini, etc.)
- Prompt Engineering
- RAG
- AI Governance & Responsible AI
Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Eight Eleven Group offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Share This Job
Vacancy posted 3 days ago
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