Onsite/Hybrid Contract role of Senior AI Architect in Carmel, IN

Senior AI Architect 

Carmel, IN(Hybrid/Onsite)

6+ Months 

Looking Hands-on Architect Local Consultant only 

Job Duties and Responsibilities:

Job Summary

We are seeking a highly experienced Senior AI Architect to define and drive the enterprise AI architecture strategy, design scalable AI-powered solutions, and enable the adoption of AI, Machine Learning, Generative AI, and automation technologies across the organization. The ideal candidate will combine strong architecture leadership with hands-on expertise in AI/ML, LLMs, RAG, vector databases, cloud platforms, and modern software engineering practices.

Key Responsibilities

• Design and architect enterprise-scale AI, ML, and Generative AI solutions aligned with business objectives.
• Evaluate AI opportunities, assess technical feasibility, and recommend scalable solution patterns.
• Lead the design of AI-enabled workflows, integrations, security controls, governance frameworks, and operational support models.
• Build proofs of concept (POCs), prototypes, and reference architectures to validate AI solutions.
• Provide technical leadership, mentoring, architecture reviews, and implementation guidance to engineering teams.
• Establish AI architecture standards, reusable frameworks, responsible AI practices, and governance models.
• Collaborate with business stakeholders, enterprise architects, security, compliance, and data teams to ensure successful AI adoption.

Required Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field (Master’s preferred).
• 10+ years of software engineering or architecture experience, including 5+ years in AI/ML solution architecture.
• Strong experience with AI/ML systems, MLOps, LLMs, RAG architectures, vector databases, and cloud-native deployments.
• Expertise with platforms such as Azure Machine Learning, AWS SageMaker, Google Vertex AI, Databricks, and OpenAI APIs.
• Experience leading enterprise-wide architecture initiatives and cross-functional teams.
• Knowledge of AI governance, responsible AI practices, security, privacy, and compliance requirements.