Principal AI Specialist

We’re AtkinsRéalis, a world-leading Design, Engineering and Project Management organization. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services and project management company dedicated to engineering a better future for our planet and its people. We create sustainable solutions that connect people, data, and technology to transform the world's infrastructure and energy systems. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors such as Engineering Services, Nuclear, Operations & Maintenance and Capital.

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Our teams are proud to deliver on some of the most prestigious projects across the world. It's thanks to our talented people and their diverse thinking, expertise, and knowledge. Join us and you'll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise.

When it comes to work-life balance, AtkinsRéalis is a great place to be. So, let's discuss how our flexible and remote working policies can support your priorities. We're passionate about are work while valuing each other equally. So, ask us about some of our recent pledges for Women's Equality and being a 'Disability Confident' and 'Inclusive Employer.’

About the Role:

We are looking for a highly experienced Principal Generative AI Engineer/Scientist with over 10+ years of expertise in the field of artificial intelligence and machine learning. In this role, you will be a key leader within our AI team, driving the development of advanced generative AI models and leading groundbreaking AI initiatives. Your role will be instrumental in shaping the strategy, innovation, and execution of our AI projects, impacting various business domains and driving real-world applications.

Key Responsibilities:

• AI Strategy and Leadership: Lead the strategic direction of generative AI initiatives, identifying innovative applications and solutions to address complex business challenges.
• Model Design and Development: Architect, develop, and deploy cutting-edge generative AI models (e.g., GANs, Transformers, VAEs) to solve real-world problems and create new AI capabilities.
• Thought Leadership: Act as a thought leader in the AI community, contributing to the development of AI frameworks, methodologies, and best practices within the organization.
• Cross-Functional Collaboration: Collaborate with data scientists, software engineers, domain experts, and stakeholders to ensure the seamless integration of generative AI solutions into business operations.
• Mentorship and Team Development: Mentor and guide junior AI team members, fostering a culture of innovation, knowledge sharing, and continuous learning within the AI team.
• Research and Innovation: Lead research initiatives to explore and implement state-of-the-art generative AI techniques, keeping the company at the forefront of AI technology advancements.
• Data Strategy: Oversee data collection, preprocessing, and management to ensure the availability of high-quality datasets for training and validating AI models.
• Scalability and Optimization: Optimize the performance, efficiency, and scalability of AI models, ensuring they can be effectively deployed in production environments.
• Stakeholder Communication: Communicate AI concepts, project progress, and technical insights to both technical and non-technical stakeholders.

Required Skills & Qualifications:

• Experience: 10+ years of experience in machine learning, AI, or data science, with at least 5 years specifically focused on generative AI and deep learning.
• Technical Expertise: Extensive experience with generative models (e.g., GANs, VAEs, transformers) and machine learning frameworks like TensorFlow, PyTorch, and similar technologies.
• Programming Skills: Advanced proficiency in Python and other programming languages relevant to AI, with a solid understanding of data science libraries such as NumPy, pandas, and scikit-learn.
• Domain Knowledge: Expertise in AI subfields like natural language processing (NLP), computer vision, reinforcement learning, and their application in real-world scenarios.
• Mathematical Foundation: Strong foundation in statistics, linear algebra, probability, optimization, and other mathematical principles critical to AI model development.
• Leadership Skills: Proven experience leading AI teams, managing large-scale projects, and driving AI initiatives that deliver measurable business impact.
• Publication Record: Strong track record of published research in top-tier AI and machine learning journals or conferences.
• Problem-Solving: Exceptional analytical skills with the ability to translate complex problems into structured, data-driven solutions.
• Communication: Excellent verbal and written communication skills, with the ability to clearly present complex AI concepts to diverse audiences.

Preferred Qualifications:

• Advanced Degree: Master’s in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Industry Expertise: Experience in applying generative AI in Engineering & Construction industries.
• Patent Development: Experience in patenting AI technologies or contributing to proprietary AI innovations.
• Open-Source Contributions: Active participation in AI open-source communities, contributing to widely used AI libraries or projects.

Benefits:

• Competitive Compensation: Highly competitive salary and performance-based bonuses.
• Innovation-Driven Culture: Work in an environment that fosters creativity, innovation, and the exploration of new AI technologies.

What We Can Offer You:

• Varied, interesting and meaningful work.
• A hybrid working environment with flexibility and great opportunities.
• Opportunities for training and, as the team grows, career progression or sideways moves.
• An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual.

Why work for AtkinsRéalis?

We at AtkinsRéalis are committed to developing its people both personally and professionally. Our colleagues have the advantage of access to a high ranging training portfolio and development activities designed to help make the best of individual’s abilities and talents. We also actively support staff in achieving corporate membership of relevant institutions.

Meeting Your Needs:

To help you get the most out of life in and outside of work, we offer employees ‘Total Reward.’

Making sure you're supported is important to us. So, if you identify as having a disability, tell us ahead of your interview, and we’ll discuss any adjustments you might need.

Additional Information:

We are an equal opportunity, drug-free employer committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures, and ability.

We care about your privacy and are committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use, and transfer your Personal Data.

Link: Equality, diversity & inclusion | Atkins India (atkinsrealis.com)

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.