AI Product Manager/Architect

Synechron•Alpharetta, GA

About The Position

Synechron is seeking a highly experienced AI Product Manager / AI Architect with a strong technical background in software engineering, enterprise architecture, and AI solution delivery. The role combines product management, solution architecture, and technical leadership to develop AI-powered products using Generative AI, Machine Learning, Large Language Models (LLMs), and cloud technologies. The position is responsible for defining product strategy and architecture, translating business needs into scalable AI solutions, and leading products from ideation through deployment and adoption. The successful candidate will work with business stakeholders and cross-functional engineering, data science, and DevOps teams, while establishing technical standards, governance, security, and Responsible AI practices. The base salary varies by geography and other factors. For positions filled in Alpharetta, GA or Stamford, CT, the stated base salary is $120,000–$125,000 per year, plus benefits.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
10+ years of experience in Product Management, Solution Architecture, Software Engineering, or AI/ML-related roles.
Proven experience building and delivering enterprise software products and platforms.
Strong understanding of modern software architecture, distributed systems, APIs, and cloud-native applications.
Experience defining AI product strategy and translating business objectives into technical solutions.
Excellent stakeholder management and communication skills.
Knowledge of Large Language Models (LLMs), Generative AI applications, Retrieval-Augmented Generation (RAG), prompt engineering, AI agents or agentic AI concepts, NLP, and conversational AI.
Knowledge of solution architecture, microservices architecture, event-driven architecture, and enterprise system design.
Experience with at least one major cloud platform: Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).

Nice To Haves

Experience delivering AI solutions in Banking, Financial Services, Insurance (BFSI), Wealth Management, or Capital Markets.
Experience with MLOps, CI/CD pipelines, cloud deployment, and production AI systems.
Familiarity with AI governance, security, compliance, and Responsible AI frameworks.
Experience leading architecture reviews and mentoring engineering teams.
Cloud certifications in Azure, AWS, or GCP.

Responsibilities

Define and execute the vision, strategy, and roadmap for AI-driven products and platforms.
Partner with business stakeholders to identify opportunities where AI can create measurable business value.
Translate business requirements into scalable technical architectures and AI solutions.
Lead the end-to-end lifecycle of AI products, from ideation through deployment and adoption.
Design and review enterprise-grade solution architectures, integration patterns, APIs, and microservices.
Collaborate with engineering, data science, DevOps, and business teams to deliver AI initiatives.
Evaluate emerging AI technologies, frameworks, and cloud services to drive innovation.
Establish technical standards, governance, security, and Responsible AI practices.
Drive product prioritization, backlog management, and Agile delivery processes.
Present technical solutions and product strategies to senior leadership, clients, and stakeholders.

Benefits

Competitive compensation and benefits package.
Possibility to work abroad.
10 days of paid annual leave, plus sick leave and national holidays.
Maternity and paternity leave plans.
Insurance plan including medical, dental, vision, life insurance, and long- and short-term disability; plans vary by region.
Retirement savings plans.
Higher education certification policy.
Commuter benefits; availability varies by region.
Extensive training opportunities focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business access to more than 5,000 curated courses.
Coaching opportunities with experienced colleagues from Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting-edge projects with leading tier-one banks, financial institutions, and insurance firms.
Flexible workplace arrangements.
Mentoring, internal mobility, and learning and development programs.