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We are seeking an experienced technicallyproficient AI Platform Engineering Leader who will build and oversee productiongrade AI software. As a key technology leader you will architect scalable data pipelines establish robust engineering practices and drive technical decisions that support our AIdriven enterprise solutions. This role requires expertise in AI infrastructure systems and data engineering as well as strong leadership skills to guide a team of engineers in building reliable and performant AI systems.
You will be responsible for designing and implementing the technical foundation that powers our generative AI and multiagent systems. This leadership position demands excellence in technical architecture production engineering practices and the ability to translate business needs into scalable resilient technical solutions.
Key Responsibilities:
Work closely with customers domain experts and use case leads to identify pain points define AIdriven solutions and iteratively prototype use cases.
Rapidly build proofofconcept (PoC) AI solutions and evaluate their impact in realworld industrial workflows before scaling them into production.
Apply generative AI models including LLMs to create AI agents capable of reasoning planning and autonomous .
Integrate AIdriven decisionmaking into existing industrial systems such as enterprise resource planning (ERP) and other enterprise platforms.
Design develop and deploy AIdriven autonomous agents tailored for industrial applications implement agentic AI applications that enable task completion in industrial settings.
Conduct rigorous testing validation and optimization of AI models to ensure reliability safety and regulatory compliance in industrial settings.
Stay ahead of the latest advancements in generative AI reinforcement learning and multiagent systems to drive innovation. Lead the architectural design and implementation of productiongrade AI platforms that scale across enterprise environments
Develop and optimize data pipelines to support AI model training deployment and continuous improvement
Establish engineering best practices including CI/CD workflows testing frameworks and monitoring systems for AI applications
Oversee the integration of AI systems with enterprise data sources APIs and existing technology infrastructure
Guide a team of engineers in building robust scalable and maintainable AI software solutions
Implement observability reliability and performance optimizations for AI systems in production
Collaborate with AI engineers and customers to translate AI capabilities into productionready systems
Stay current with emerging technologies in AI
Qualifications :
Strong problemsolving skills innovation mindset and ability to thrive in a fastpaced experimental environment
Experience in collaborating with leading AI frontier labs to leverage the latest capabilities of the models is a plus
Experience in building and deploying gen AI applications in 0 to 1 stage. Ability to rapidly prototype and iterate on AIdriven workflows ensuring solutions are both technically robust and aligned with business objectives. Experience in balancing technical innovation with production reliability
Must have experience in integrating enterprise wide knowledge into AI assistants to optimal results and impact
Experience in AIdriven automation and API integration
Experience working directly with customers business stakeholders and domain experts to codevelop AI solutions
Technical degree in Computer Science Engineering or related field or equivalent seniorlevel industry experience
Experience in software engineering focused on AI/ML systems in production
Additional Information :
What Were Offering
All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. VEVRAA Federal Contractor Equal Opportunity Employer
Remote Work :
No
Employment Type :
Fulltime
Full-time