AI Engineering Lead

AI Engineering Lead / AI Product Manager

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about. Armanino is proud to be among the top 20 Largest Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

We are seeking a highly skilled and innovative AI Engineering Lead / AI Product Manager to drive the development and implementation of AI-powered solutions within our Consulting practice. This role will initially focus on internal initiatives, partnering closely with an Internal Product Manager to deliver transformative, efficiency-driven AI solutions that generate measurable cost savings. Over time, there will be opportunities to expand into client-facing work as the firm's AI initiatives evolve. In addition, the AI Engineering Lead will support internal consulting team training and enablement initiatives to broaden AI capabilities across the practice.

Key Responsibilities :

Partner with Internal Product Manager(s) and Consulting Leadership to identify, design, and implement AI-driven solutions that improve operational efficiency and drive savings or quantifiable business value.

Develop and deploy scalable AI / ML architectures and applications, including natural language processing (NLP), computer vision, and generative AI use cases.

Build proofs-of-concept (PoCs) and transition successful initiatives into production-ready, enterprise-grade solutions.

Architect and optimize data pipelines, model training workflows, and deployment strategies.

Translate complex business challenges into AI-enabled technical solutions that align with Consulting practice goals.

Maintain technical ownership of AI projects from initial concept through implementation.

Research and evaluate emerging AI technologies, recommending new approaches to enhance Consulting service delivery.

Conduct internal training sessions and enablement programs to upskill Consulting team members on AI tools, concepts, and capabilities.

Requirements :

Bachelor's degree in Business, IT, related major or equivalent work experience.

Minimum of 5 years' professional experience designing, building, and deploying AI / ML solutions.

Strong proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and AI development toolkits (e.g., LangChain, Azure OpenAI, Amazon Bedrock, OpenAI API integrations, etc.).

Hands-on experience deploying solutions on Azure OpenAI or similar AI platforms.

Understanding of ethical AI practices, responsible AI development, and data privacy standards.

Proficiency in Python or equivalent coding languages and experience with key data manipulation libraries (e.g., Pandas, NumPy, Scikit-learn).

Experience with Microsoft technologies such as the Power Platform and deploying AI models in cloud environments, particularly Microsoft Azure.

Experience with Large Language Models (LLMs) and generative AI application development and the ability to design and deliver technical solutions that address business challenges.

Strong analytical, problem-solving, and project execution skills.

Excellent communication and presentation skills, with the ability to explain complex AI concepts to non-technical audiences.

Preferred Qualifications :

Practical knowledge of MLOps practices for model lifecycle management.