AI Engineering Lead/Product Manager
US CA San Ramon, United States
Full Time Senior-level / Expert USD 100K - 210K
Armanino
Armanino is one of the top 25 largest accounting, consulting and technology firms in the U.S. providing business solutions to organizations across the globe.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 8 years’ experience in corporate IT, professional services or management consulting preferred.
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.
“Armanino” is the brand name under which Armanino LLP, Armanino CPA LLP, and Armanino Advisory LLC, independently owned entities, provide professional services in an alternative practice structure in accordance with law, regulations, and professional standards. Armanino LLP and Armanino CPA LLP are licensed independent CPA firms that provide attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Armanino Advisory LLC and its subsidiary entities are not licensed CPA firms.
Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge.
Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition’s knowledge will result in termination of contract.
Certain states require us to disclose the pay range and benefits summary for job openings. For Northern California residents, the compensation range for this position: $100,000 - $210,000. For Southern California residents, the compensation range for this position: $100,000 - $199,000. For Washington residents, the compensation range for this position: $100,000 - $199,000. For New York residents, the compensation range for this position: $100,000 - $199,000. For Colorado residents, the compensation range for this position: $100,000 - $181,000. For Illinois residents, the compensation range for this position: $100,000 - $181,000. Compensation may vary based on skills, role, and location. Eligible employees at certain levels can participate in a discretionary long-term financial incentive plan, subject to plan participation rules.
Armanino has a robust offering of benefits, including:
Medical, dental, vision
Generous PTO plan and paid sick time
Flexible work arrangements
401K with Profit Sharing
Wellness program
Generous parental leave
11 paid holidays
For positions based in San Francisco, consistent with the SF Fair Chance Ordinance, an arrest and conviction record will not automatically disqualify a qualified applicant from consideration.
For Individuals who would be working within the City of Los Angeles, Armanino will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance
To view our Consumer Notice at Collection for job applicants, please visit: https://www.armanino.com/terms/ccpa-employee-notice/
We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network.
Tags: APIs Architecture Azure Computer Vision Consulting Data pipelines Engineering Generative AI LangChain LLMs Machine Learning MLOps Model training NLP NumPy OpenAI Pandas Pipelines Privacy Python PyTorch Research Responsible AI Scikit-learn TensorFlow
Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Medical leave Parental leave Wellness
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