Lead AI/ML Engineer

Primary Responsibilities:
Define and execute architecture and engineering strategy for AI/ML, intelligent automation, and digital transformation initiatives across the enterprise
Lead end-to-end hands-on solution architecture and development across multiple products and enterprise platforms, utilizing Python, Java, and Spring Boot
Design, develop, and deploy AI-powered solutions to address complex business challenges with a solid emphasis on the responsible use of AI
Build and drive the adoption of advanced generative and agentic AI architectures using frameworks such as LangGraph, Agno, or modern AI SDKs (such as Vercel AI SDK)
Architect responsive, high-performance web frontends in Next.js integrated with real-time AI endpoints and streaming APIs
Define and implement robust, event-driven data pipelines and streaming services utilizing Apache Kafka
Establish architectural standards, governance frameworks, and database schema strategies using PostgreSQL
Drive adoption of emerging technologies including Generative AI, Agentic AI, MLOps, Knowledge Graphs, and Cloud-native architectures
Use enterprise-approved AI tools to streamline development workflows, automate engineering tasks, and drive continuous team improvement
Evaluate technology investments, evaluate emerging trends, and create reference architectures to accelerate solution delivery
Ensure architectures meet security, compliance, scalability, reliability, and performance requirements
Mentor engineering leads and development teams, establishing a culture of high engineering standards and code excellence

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Bachelor's degree or Master's degree in Computer Science, or 4+ years of equivalent software engineering experience in addition to the required experience (in lieu of a degree)
10+ years of progressive professional software engineering experience, including hands-on experience building backend APIs and high-scale systems
10+ years of professional experience designing, building, and developing backend applications using Java and Spring Boot
5+ years of professional experience building event-driven streaming solutions using Apache Kafka
Experience delivering and deploying scalable software applications in a production cloud environment
Professional experience developing frontend web applications with Next.js or React
Professional experience designing, querying, and managing relational databases with PostgreSQL
Professional experience with Python and implementing AI/ML or agentic AI frameworks (such as LangGraph, Agno, or modern AI SDKs)

Preferred Qualifications:
Experience with Generative AI, LLMs, Agentic Frameworks, MLOps, and enterprise AI governance
Experience leading technical design sessions, establishing coding guidelines, and driving architectural planning across teams
Solid knowledge of enterprise integration patterns, data architecture, security, and platform engineering
Proven expertise in cloud platforms, with Azure
Demonstrated ability to influence executive stakeholders and lead cross-functional teams
Demonstrated exceptional communication, strategic thinking, and problem-solving skills

Skills Required
Bachelor's or Master's degree in Computer Science or equivalent additional experience
10+ years professional software engineering experience, including building backend APIs and high-scale systems
10+ years designing, building, and developing backend applications using Java and Spring Boot
5+ years building event-driven streaming solutions using Apache Kafka
Experience delivering and deploying scalable software applications in a production cloud environment
Professional experience developing frontend web applications with Next.js or React
Professional experience designing, querying, and managing relational databases with PostgreSQL
Professional experience with Python and implementing AI/ML or agentic AI frameworks (e.g., LangGraph, Agno, modern AI SDKs)