Principal AI Technologist

About MotivusAt Motivus, we’re redefining digital transformation by combining cutting-edge technology with a culture focused on innovation, sustainability, and impact. Our team of over 1,600 professionals, delivering high-impact software and digital services that empower clients to reach new heights. As part of Motivus, you’ll not only work on groundbreaking solutions that drive change but also enjoy ample opportunities for professional growth, skill development, and career advancement. Join us to collaborate with passionate individuals dedicated to building a future where technology and human potential thrive together.Role OverviewWe are looking for a hands-on Principal AI Technologist who combines deep AI expertise, a strong research mindset and practical enterprise experience to help shape Motivus' AI innovation and technical direction.In this role, you will explore emerging AI technologies, challenge conventional approaches, and turn new ideas into practical solutions for complex enterprise problems. You will be a technical thought leader, working closely with industry experts, Forward Deployed Strategists, Forward Deployed Solution Engineers and AI engineering teams to build differentiated AI capabilities, set architectural principles, and strengthen Motivus' credibility with enterprise customers.We are looking for someone who is intellectually curious, enjoys hands-on experimentation, engages confidently with senior technology leaders, and knows how to connect emerging AI capabilities with real business needs.What You'll Do1. Applied AI Research & Innovation (35%)Explore, experiment with and evaluate emerging AI technologies, models, frameworks and techniques for enterprise use.Research and develop approaches in Generative AI, LLMs, agentic systems, reasoning architectures, machine learning, deep learning and optimization.Experiment with deterministic workflows, probabilistic reasoning and hybrid AI architectures to find the best approach for each business problem.Design and run experiments to assess performance, accuracy, reliability, robustness, scalability, cost and business impact.Build working prototypes and proofs of concept to validate new technologies and approaches.Evaluate techniques such as RAG, fine-tuning, context engineering, model selection, inference optimization and agent orchestration.Track emerging research and assess its practical value for enterprise environments.Develop approaches for AI evaluation, benchmarking, experimentation and continuous improvement.Identify opportunities for reusable AI capabilities, accelerators and differentiated intellectual property.2. Customer Mindshare & Thought Leadership (35%)Engage with CIOs, CTOs, CDAOs, enterprise architects and technology leaders on emerging AI technologies and enterprise adoption.Take part in executive technology discussions, innovation workshops, architecture advisory sessions and industry forums.Help customers understand what is possible with AI, where it creates real value, and the architectural and operational considerations involved.Guide Forward Deployed Strategists and Solution Engineers to bring technical depth and new ideas into customer engagements.Develop perspectives on AI trends, technology choices and architectural patterns, and their impact on enterprise technology strategy.Contribute white papers, architecture perspectives, technical articles, presentations and demonstrations.Help establish Motivus as a credible, trusted voice in enterprise AI.Connect AI innovation with industry-specific challenges and measurable business outcomes.3. Enterprise AI Architecture & Technical Direction (20%)Help define Motivus' enterprise AI architecture principles, reference architectures, technical standards and best practices.Define architectural approaches for agentic systems, AI reasoning, context management, model integration, orchestration and AI governance.Evaluate AI platforms, foundation models, frameworks and infrastructure to guide technology choices.Work with architecture and engineering teams to turn successful experiments into scalable, secure, production-ready solutions.Provide guidance on AI reliability, observability, evaluation, security, responsible AI and human oversight.Contribute to the evolution of Motivus' AI platforms, accelerators and reusable engineering capabilities.Partner with industry experts to build domain-aware AI architectures for Financial Services, Healthcare & Life Sciences and other sectors.Challenge conventional approaches and recommend practical, evidence-based alternatives.4. Technical Mentorship & Ecosystem Engagement (10%)Mentor AI engineers, architects and technical teams on emerging technologies, advanced AI concepts and engineering practices.Foster a culture of experimentation, curiosity, continuous learning and knowledge sharing.Collaborate with AI platform providers, hyperscalers, research communities and technology partners.Evaluate emerging tools, open-source frameworks and research initiatives for potential adoption.Contribute to internal technical communities, learning programs, architecture reviews and innovation initiatives.Encourage contributions to open-source projects, publications, research and reusable AI assets.Required QualificationsMaster's degree or equivalent demonstrated expertise in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics or a related field. A PhD is an advantage but not required.Strong hands-on experience in AI/ML, including machine learning, deep learning, Generative AI, LLMs and modern AI architectures.Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, JAX or similar.Proven experience experimenting with, developing, evaluating or deploying AI models and systems.Strong understanding of agentic architectures, LLM reasoning, RAG, context engineering, model evaluation and AI orchestration.Experience designing AI solutions that integrate with enterprise applications, data platforms, APIs and business workflows.Strong understanding of AI architecture principles, scalability, reliability, security and production deployment.Ability to translate emerging research and complex technical concepts into practical enterprise applications.Experience building prototypes, running experiments and evaluating alternative technical approaches.Strong analytical thinking, problem-solving ability and intellectual curiosity.Excellent communication skills, with the ability to engage both technical teams and senior enterprise technology leaders.Ability to work across research, architecture, engineering and industry teams without direct organizational authority.Preferred Qualifications10–15 years of total experience.Experience with advanced agentic AI systems, multi-agent orchestration, reasoning models, reinforcement learning or emerging foundation model architectures.Experience combining deterministic workflows with AI-based reasoning and decision-making.Experience in AI evaluation, benchmarking, observability, model optimization and inference efficiency.Experience with knowledge graphs, ontologies, semantic layers, enterprise context architectures or retrieval systems.Experience with distributed AI systems, model serving, MLOps, GPU infrastructure or cloud AI platforms.Experience applying AI to complex enterprise problems, especially in Financial Services, Healthcare & Life Sciences or other regulated industries.Experience engaging enterprise technology leaders in architecture discussions, technical workshops or innovation initiatives.Contributions to open-source AI projects, technical publications, patents, research papers or industry forums.Familiarity with leading AI ecosystems, cloud platforms and enterprise AI technologies.AI Portfolio / Proof of CraftWe value demonstrated technical capability, experimentation and practical innovation as much as formal credentials. Please include links to examples of your work, such as:AI models, datasets or applications on Hugging FaceResearch projects, experiments or open-source contributions on GitHubKaggle competitions, notebooks or machine learning experimentsPapers, preprints or technical publications on arXiv, Google Scholar or similarWorking demos, prototypes or enterprise AI architecturesTechnical articles, presentations or blogs about innovative AI approachesWe are especially interested in the problems you explored, the approaches you evaluated, what you learned, and how your work could apply to real enterprise problems.What Success Looks LikeYou will be successful in this role when you:Influence customer thinking through credible, insightful and forward-looking technology discussions.Bring new AI ideas, technologies and approaches into Motivus through meaningful experimentation and practical validation.Help establish differentiated enterprise AI architectures, reusable capabilities and technical intellectual property.Help Forward Deployed teams and AI engineers deliver more innovative and technically sound solutions.Strengthen Motivus' reputation as an AI-native technology partner with deep technical and industry expertise.Build a culture of curiosity, experimentation and continuous innovation across the organization.Working At MotivusGrow Your Career: At Motivus, you will have the opportunity to expand your skills and take on leadership roles in diverse projects.Work on Emerging Tech: Be at the forefront of innovation by working with cutting-edge technologies and methodologies.Collaborative Environment: Work with talented teams that value your ideas and contributions.Learning and Development: We offer a range of L&D programs to help you advance your career.Client-Centric Approach: Contribute to solutions that create lasting value for global Fortune 500 clients.Culture of Innovation: We pursue innovation relentlessly, encouraging our teams to explore new ideas and technologies.Responsibility: We give back to the communities that support us and our clients.Learning & Development: Our employees lead, learn, and grow, supporting themselves and our clients.Motivus is an equal opportunity employer and encourages diversity and inclusion in the workplace.