• Design and implement a lightweight supervised fine tuning training pipeline using open source LLMs. • Create new benchmarks to evaluate frontier models across defined scientific and performance criteria. • Analyze production models to identify measurable areas for improvement. • Improve model performance through targeted retraining and hyperparameter search. • Deploy improved models while maintaining core model characteristics and avoiding regression. • Build Python tooling to automate training, evaluation, benchmarking, and experimentation workflows. • Implement structured evaluation methods, including rubric based scoring and LLM as a judge workflows. • Document experimental design, benchmark methodology, and performance results with clarity and precision. • Iterate rapidly in a research driven environment to increase model quality and reliability.

• Conduct applied research related to AI model evaluation, data quality, and validation methodologies • Co-author research papers, technical reports, and whitepapers • Implement research prototypes and experimental systems • Support internal R&D initiatives in areas such as Agentic AI systems, LLM evaluation and validation, Speech and multimodal model assessment, Data-centric AI methodologies • Collaborate with the engineering team to translate research ideas into practical workflows • Develop experimental code and proof-of-concept implementations • Work with datasets used for training, evaluation, and benchmarking • Design experiments and analyze results • Write technical blog articles explaining recent advances in AI and ML • Translate complex research topics into accessible technical content • Support marketing and communications teams with technically accurate material • Contribute educational materials and technical explainers • Attend academic and industry conferences • Engage with researchers from AI companies and academia • Discuss research topics, evaluation challenges, and data requirements • Identify opportunities for collaboration related to dataset needs and model evaluation • Maintain professional follow-up communication after conferences

Are you looking for a role that motivates and challenges you? Are you ready for an opportunity for growth? Do you want to work on teams where people roll up their sleeves to take on tough problems together, and regularly blow the doors off our clients with their outstanding teamwork? If you answered yes to those questions, 3Cloud might just be for you! At 3Cloud, we hire people who aren’t afraid to experiment or fail. We hire people who are willing to give direct and candid feedback to their managers, leaders, and team members. We hire people who jump at those opportunities because they care about our collective growth and success. We hire people who challenge and hold each other accountable for living 3Cloud’s core values because they know that it will result in amazing experiences and solutions for our clients and each other. As a Senior Consultant in AI , you will play a key role in designing, building, and delivering modern AI/ML solutions with a high degree of independence. You bring broad hands-on expertise across AI technologies and thrive in environments that require creative problem‑solving, strong consulting skills, and the ability to translate complex client needs into scalable, high‑quality solutions. This role is ideal for someone who enjoys building, collaborating, and shaping real-world AI outcomes. Responsibilities Technical Delivery Build and deliver AI/ML and data solutions on Azure with minimal oversight. Apply modern frameworks, tools, and engineering practices to design scalable solutions. Ensure solutions meet expectations for performance, reliability, security, and quality. Client Engagement Contribute to discovery sessions and solution‑design workshops with technical insight. Translate business requirements into actionable, well‑structured technical components. Requirements Education & Experience Bachelor’s degree in Computer Science, Information Technology, or a related field preferred (or equivalent experience). 2–5 years of relevant experience with demonstrated ability to independently contribute across most areas of AI solution delivery. Prior consulting or client‑facing experience preferred. Proficiency across most of the following areas: Agents & Orchestration – leveraging Semantic Kernel, LangChain, or similar frameworks to design intelligent workflows; applying tool/function calling, planner and agent-based patterns, and workflow automation engines Search & Retrieval – implementing solutions with vector databases such as Azure AI Search, Pinecone, FAISS, or Milvus; applying hybrid search methods, re-ranking strategies, and selecting embedding models for accuracy and performance Evaluation, Quality & LLM Operations – establishing offline and online evaluation approaches; using golden datasets, hallucination and groundedness validation, toxicity and safety testing; building telemetry and feedback loops; managing monitoring, deployment pipelines, and ongoing optimization of large language models Responsible AI, Security & Privacy – incorporating practices such as threat modeling, privacy reviews, data minimization, safety guardrails, policy enforcement, auditability, and model risk management in line with GDPR and organizational standards AI Platforms & Data Foundations – applying hands-on experience with Azure AI services, Databricks, Azure OpenAI, and related modern data platforms • Cloud Engineering – designing with APIs, containers, microservices, and DevOps pipelines to deliver scalable, cloud-native solutions Data Integration & Governance – developing and managing data pipelines; applying quality controls, metadata practices, and master data management approaches • Analytics & Visualization – delivering insights with Power BI and other visualization tools Proficiency with modern development tools (e.g., GitHub Copilot, Cursor Ability to work with little to no oversight while delivering assigned work Strong communication and collaboration skills within cross-functional teams Ability to translate technical work into business value during client interactions Ability to thrive in a fast-paced, client-focused environment • Self-starter with strong problem-solving skills and curiosity to learn Balance autonomy with teamwork, contributing reliably to larger project goals Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas This Job Posting will expire on Monday, March 9th , 2026. 3Cloud Total Rewards Highlights Include: Flexible work location with a virtual first approach to work! 401(K) with match up to 50% of your 6% contributions of eligible pay Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days Two medical plan options to allow you the choice to elect what works best for you! Option for vision and dental coverage 100% employer paid coverage for life and disability insurance Paid leave for birth parents and non-birth parents Option for Healthcare FSA, HSA, and Dependent Care FSA $67.00 monthly tech and home office allowance Utilization and/or discretionary bonus eligibility based on role Employee Assistance Program to help with everyday challenges 3Cloud offers competitive compensation. In addition to base pay employees are eligible to receive an annual discretionary/utilization bonus. If you are hired at 3Cloud your final base salary is based on factors such as skills, education, experience and/or geographic location. Please keep in mind that the range mentioned above includes the full base salary range for the role. It is not typical for offers to be made at or near the top of the range. Base Salary Range $109,800 — $164,700 USD Don’t meet every single requirement? At 3Cloud we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At this time, we cannot sponsor applicants for work visas.

The role – what you’ll do Barr is seeking a senior AI consultant to join our Digital Solutions team. This senior consulting role is responsible for building Barr’s AI-enabled consulting services. The senior AI consultant defines how Barr applies artificial intelligence and data analytics to deliver value in environmental consulting and engineering projects. Working closely with the business unit leadership, the director of project technology, and project leaders, this person will shape service offerings, develop go-to-market strategies, and drive business growth for AI-related services. This role bridges technical innovation with client delivery, leveraging Barr’s existing AI and data science expertise while concentrating on market impact, client engagement, and service development. Your impact - key responsibilities Service offering development and practice leadership: define and develop AI-driven consulting services that complement Barr’s core engineering and environmental offerings. Identify areas where AI/ML can solve client challenges and create structured service packages around these solutions. Business development and market positioning: proactively identify client needs and market opportunities for AI-enhanced consulting. Work with project teams and principals to qualify opportunities where Barr can introduce AI solutions. Craft value propositions and proposal content that articulate the business benefits of our AI offerings in clear, client-focused terms. Drive go-to-market strategy for AI services: develop marketing materials, case studies, and thought leadership pieces that position Barr as an innovative, tech-savvy partner in our industry. Participate in industry events or client workshops to showcase Barr’s capabilities. Client engagement and solution strategy: engage with clients to understand their strategic objectives, pain points, and data and technology environment. Design high-level solution approaches that effectively apply AI to meet client-specific needs, scoping out how our services will be delivered. Collaboration with technical teams: leverage Barr’s existing technical talent in AI, data science, and software development. Collaborate with our data scientists, engineers, and IT specialists to implement the technical aspects of AI solutions. Your role is to translate client requirements into clear tasks for the technical team and best ensure that the team’s capabilities are effectively packaged to meet client needs. About the opportunity Hybrid or remote: a hybrid or remote work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office; a remote arrangement refers working primarily from a home office. This position can be based out of any of Barr's U.S. anchor offices. Remote arrangements will be considered based on candidate qualifications, local regulations, and Barr’s needs. Travel expectation: up to 25% for business development and visits to other Barr offices and clients. Amount of travel may vary depending on the location the candidate is based out of. About you – required core competencies Consulting experience and industry knowledge: 10+ years of experience in consulting or professional services, with a significant portion in roles involving business development, service line leadership, or practice management. Proven track record of expanding existing services and/or developing new services or markets and driving revenue growth. Strategic business acumen: Demonstrated ability to think strategically about services and markets. Skilled at identifying emerging client needs and turning them into business opportunities. Experience crafting go-to-market strategies or business plans for new initiatives, including defining offerings, pricing, and delivery approach. Solid understanding of consulting economics and the ability to help ensure the profitability of projects and services. Entrepreneurial mindset with a focus on results and value creation. Client engagement and sales skills: exceptional communication and interpersonal skills. Comfortable engaging with client executives and decision-makers. Strong presentation and negotiation skills, able to lead proposal efforts and differentiate Barr’s offerings from competitors. A record of building trusted client relationships and delivering client satisfaction, especially when introducing new capabilities or ways of working. Leadership and collaboration: effective at leading cross-functional efforts without formal authority. Able to influence and motivate teams to rally around new ideas. Experience coordinating diverse teams (technical experts, consultants, business developers) to deliver a unified service. AI literacy and innovation mindset: strong familiarity with modern AI and data analytics concepts and their business applications. While deep technical development skills are not the primary focus of this role, the candidate must be conversant in AI/ML capabilities and stay informed about trends that impact our industry. Driver’s license : possession of a current, valid driver’s license and acceptable driving record. Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future. Helpful additional experience (not required) Advanced education: graduate degree, such as an MBA or a master’s degree in a relevant technical field, or both. Domain expertise: experience in the environmental, engineering, or industrial sectors that Barr serves (e.g., water resources, energy, manufacturing, mining). Practice building achievements: previous success in launching or growing a consulting practice or service line. Thought leadership and network: recognized involvement in industry forums or professional networks related to technology and consulting. Adaptability and change management: demonstrated ability to drive change in an organization. Compensation : Anticipated range of $130,000–$180,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salaried) under the Fair Labor Standards Act. #LI-Hybrid #LI-Remote Benefits - what we offer We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career. Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status. About us - why choose Barr At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service. As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success. To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all 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.