AI Architect at Indianapolis IN Hybrid
AI Architect at Indianapolis IN Hybrid
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Salary Not Disclosed
1 Vacancy
Job Description
Requirement details:
Role: ML/AI Architect
Location: Indianapolis IN (Hybrid)
Experience: 10 Years
Duration: Long Term
Client: Eli Lilly
Job Description:
Overview:
- Client is seeking an AI Architect to lead the development and governance of an enterprisewide AI architecture strategy.
- This role bridges data science data engineering DevOps MLOps and business teams to scale AI initiatives across the organization.
- The ideal candidate will guide multiple AI projects ensuring alignment with technical and business objectives while fostering a culture of innovation and ethical AI implementation.
Key Responsibilities:
- Collaborative Strategy: Work with data scientists business leaders and IT teams to identify pilot and implement AI use cases that drive digital transformation. Translate business goals into realistic technical solutions.
- Architectural Alignment: Gather inputs from stakeholders to define AI architectures that align with current and future business requirements.
- Technology Selection: Choose appropriate technologies (opensource and commercial) for cloud onpremises or hybrid deployment ensuring seamless integration with existing data and analytics tools.
- Continuous Improvement: Audit AI tools and practices support model recalibration and ensure feedback mechanisms to enhance AI services.
- Risk Management: Collaborate with security and risk leaders to mitigate threats such as data poisoning and model theft while ensuring compliance with regulations and ethical AI practices.
Qualifications:
- Proven experience as an AI Architect or similar role with a focus on enterprisescale AI solutions.
- Strong understanding of AI/ML frameworks data engineering and software development principles.
- Familiarity with AI governance ethical AI practices and risk mitigation strategies.
- Ability to collaborate effectively with diverse stakeholders from business leaders to technical teams.
- Experience with cloud platforms (e.g. AWS Azure GCP) and hybrid deployment models.
Employment Type
Full Time
