• The designer joining us thinks in systems and scales production without losing brand identity. • You use AI not because it's trendy, but because you understand it amplifies what you already do well.

Job Title: Senior Associate, Artificial Intelligence Engineer Job Code: 36759 Job Location: Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off Job Description: The L3Harris Enterprise AI team is seeking an individual with strong working knowledge in application development, artificial intelligence, machine learning, and generative AI to support the effective development of key AI offerings and capabilities. This role includes overseeing enterprise AI services, ensuring adherence to security standards, building AI solutions in cloud-based environments, and ensuring AI integration with reliable data. This position will support the organization’s AI/ML frameworks, focusing on AI design, development, documentation, and user training. The goal is to ensure seamless adoption of AI into all possible work streams, thus directly impacting the lives of all employees. Essential Functions: - Design, build, and maintain robust AI/ML solutions to ensure reliable decision-making across the enterprise. - Sustain AI enterprise offerings by orchestrating workflows and monitoring the overall health of AI solutions to ensure continuous availability and performance. - Create, update, and optimize AI models, datasets, and transformations to align with business needs. - Troubleshoot and resolve issues, ensuring consistent and correct data flow from source systems. - Collaborate with cross-functional teams to uphold security standards and ensure accurate data is available for use. - Utilize AI/ML frameworks (e.g., PyTorch, TensorFlow) to establish data connections to source applications, by extracting and loading data that meets functional and technical specifications. - Utilize software frameworks such (e.g., Semantic Kernel, Prompt Flow, LangChain) to integrate LLM’s into applications. - Develop and manage AI model cleansing, consolidation, and integration mechanisms to support big data analytics at scale. - Build visualizations using AI tools and assist business users with testing, troubleshooting, and documentation creation, including AI service maintenance guides. Qualifications: - Bachelor’s Degree and minimum 2 years of prior relevant experience. Graduate Degree and a minimum of 0 to 2 years of prior related experience. In lieu of a degree, minimum of 6 years of prior related experience. Preferred Additional Skills: - Proficiency in Python, JavaScript, TypeScript, C# or other scripting languages for AI/ML processing and automation. - Experience with Microsoft tools such as Azure Data Factory (ADF), AI Search, and Document Intelligence is highly desirable. - Experience working in GCCH Azure Environment. - Knowledgeable in API integration and development. - Experience with Agile principles and development processes. - Excellent interpersonal and effective communication skills. - Passionate about continuous learning and enjoy working in a fast paced, dynamic team environment. - Certified Microsoft Azure AI Engineer. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $84,500-$156,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $73,000-$136,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. #LI-NR1

Technical Lead, AI Reporting to: Head of Engineering Closest Collaboration: Hume Engineering Team, Product Management, Chief Scientist Flexibility: Option to work remotely The mission We are looking for a visionary and hands-on Tech Lead for AI to shape and build the artificial intelligence capabilities of Hume, our connected data analytics platform, from the ground up. The initial focus will be Hume Maestro, our core AI component. You will be the architect and the builder, designing the foundations of our AI layer while actively contributing to its development. You will translate product vision into sound technical decisions, ensuring high-quality delivery within a collaborative, shared decision-making framework. Key responsibilities - Architectural Leadership: Design the foundations and technical roadmap of the AI layer within the Hume platform, specifically focusing on Hume Maestro. - Hands-on Engineering: Actively contribute to the codebase, setting the standard for technical excellence, performance, and scalability in our AI components. - Collaborative Governance: Work within a shared decision-making structure alongside Product Managers and our Chief Scientist to align technical execution with product vision and priorities. - Cross-Functional Integration: Partner with the broader Hume team (including front-end and platform engineers) to ensure seamless integration of AI capabilities into the user experience. - Technical Quality: Drive best practices in AI/ML engineering, including model evaluation, deployment pipelines, and maintainable code structures. - Future Team Building: As the AI function expands, you will have the opportunity to transition from an individual contributor/lead role into building and mentoring a dedicated AI engineering team. What you need to bring - Experience: A proven track record as a Senior or Lead Engineer with deep expertise in Artificial Intelligence and Machine Learning. - Technical Depth: Strong experience in designing and deploying AI architectures, with a focus on LLMs, graph-based AI, or complex data processing layers. - Strategic Thinking: Ability to bridge the gap between high-level research/vision and production-ready engineering. - Collaborative Mindset: Experience working closely with Product and Science stakeholders to balance technical debt, innovation, and delivery speed. - Leadership Potential: A desire to eventually lead and inspire a team, with the communication skills necessary to coordinate complex technical projects. - Background: Experience in B2B SaaS or high-growth deep-tech environments is highly preferred. What we offer This is a unique "Day 1" opportunity for our AI layer. You aren't just joining a team; you are defining a function. We aim to create the conditions for you to evolve from this founding technical role into a leadership position as our AI capabilities scale. - Unique opportunity: Join us on our journey to fundamentally change the way intelligence analysis is conducted and to empower democratic government agencies - Driven and motivating environment: Striving for excellence is who we are but we’ve always got each other’s back. Work in an environment that motivates and supports you - Self-realisation and autonomy: Thrive in an environment where autonomy is balanced with accountability. If something isn’t working, we take action - Competitive compensation: Enjoy a competitive compensation package and regular reviews - Equity participation: Share in the company's success through our share scheme program GraphAware’s core values - Sense of Ownership - Strive for Excellence - Driven by Customer Success - Belief in the Value of Graphs - I Got Your Back! - Radical Candor

• Review prompts and AI-generated responses • Annotate and label responses and their reasoning steps • Compare outputs and assess quality and relevance • Follow clear guidelines to ensure consistency • Apply cultural understanding where needed