AI Strategy Lead Hybrid

Deerfield, WI - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

For further inquiries regarding the following opportunity please contact our Talent Specialist.
Meghna at
Ragu Mohan at

Title: AI Strategy Lead - Hybrid
Duration: 6 Months with possibilities of extension or conversion (based on performance fit and organizational need)
Location: Deerfield IL (Strong preference for candidates in the Chicago / Deerfield area)

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.

Expected onsite presence: 2 days per week for collaboration and architecture workshops.

Description:

Looking for a seasoned AI Architect / AI Platforms Lead responsible for driving enterprise-wide adoption of AI solutions. This role is outward-facing and strategic partnering closely with business units to evaluate use cases propose AI solutions and ensure alignment with enterprise architecture. The ideal candidate brings deep technical expertise in AI models data architecture and platform integration

Primary Tasks and Responsibilities-

Champion AI to Key Stakeholders: Act as the primary advocate for AI initiatives communicating the benefits and potential of AI technologies and Governance to senior leadership and other key stakeholders to secure buy-in and support.
Implement AI Platforms: Oversee the deployment and integration of AI platforms across the organization ensuring they meet business needs and are scalable for future growth.
Advise All Teams on AI: Provide expert guidance and support to various departments on how to leverage AI to solve business problems and improve processes.
Develop and Execute the AI Roadmap: Create a strategic plan for AI initiatives outlining key projects timelines and milestones and ensure its successful execution.
Implement Success Measurement Metrics: Define and track key performance indicators (KPIs) to measure the impact and success of AI initiatives making data-driven adjustments as needed.
Implementation and Usage of Implementation and Usage of Generative AI technologies such as Microsoft Co-Pilot and lead the deployment and adoption of such technologies ensuring they are effectively utilized to enhance productivity and decision-making.
Support business domain teams such as R&D and Marketing with AI Capabilities: Collaborate with domain teams to integrate AI technologies into products and services enhancing their value to customers.
Drive strategic adoption of AI solutions across the enterprise.: Provide strategic leadership and direction for AI initiatives
Evaluate incoming business use cases and determine appropriate AI solutions (build/buy/integrate).
Provide architectural direction across AI models platforms and enterprise applications.
Lead implementation and administration of AI platforms tools and supporting ecosystems.
Collaborate closely with business teams (Technical Services Customer Service R&D Supply Chain Commercial) to translate needs into technical AI solutions.
Work with the AI Governance Lead to ensure alignment with policies and best practices.
Architect data pipelines and structures required to support AI/ML models.
Support technical teams in deploying optimizing and maintaining AI platforms.
Partner with enterprise and solution architects to ensure cohesive system integration.
Drive productivity customer experience and operational efficiency via AI adoption.

Key Skills & Qualifications

Strong expertise in AI models AI solution landscape and modern generative AI ecosystems.
Deep knowledge of data architecture data sourcing and model data requirements.
Experience with AI platform support administration and enterprise-scale implementation.
Hands-on expertise with:
- AWS (S3 data services)
- Snowflake
- SharePoint (unstructured data)
- Enterprise apps: Workday JD Edwards Salesforce ERP/CRM systems
Ability to design AI reference architectures and integration patterns.
Strong stakeholder engagement and communication skills (not a BA role; must be technical).
Ability to assess market solutions and recommend fit-to-purpose AI products.

Education & Experience

Bachelors degree with 10 years exp required; Masters with 5 years of experience preferred.
10 years of overall experience within data architecture information architecture or AI/ML platform engineering.
AI experience of 10 years not required but solid exposure to AI/ML technologies is expected.
Experience in regulated or manufacturing industries preferred but not mandatory.

About us: DivIHN the IT Asset Performance Services organization provides Professional Consulting Custom Projects and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization Specialization and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race color religion (creed) gender gender expression age national origin (ancestry) disability marital status sexual orientation or military status.

For further inquiries regarding the following opportunity please contact our Talent Specialist. Meghna at Ragu Mohan at Title: AI Strategy Lead - Hybrid Duration: 6 Months with possibilities of extension or conversion (based on performance fit and organizational need) Location: Deerfield IL...