Senior AI Engineer

Kainos; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Kainos is hiring a Senior AI Engineer to deliver production-grade AI solutions using state-of-the-art ML, generative, and agentic technologies. You will collaborate with customers to translate business challenges into trustworthy AI outcomes and contribute to scalable cloud-native architectures.

The role emphasizes hands-on delivery, mentorship, and a culture of learning, while balancing fast-paced delivery with responsible AI practices and continuous improvement across teams.

Qualifications

• Minimum of a 2.1 degree in Computer Science, AI, Data Science, or similar.
• Experience deploying AI/ML solutions into production with metrics.
• Strong Python and software engineering practices.
• Experience on Azure/AWS, containerisation and orchestration.
• Expertise in AI data engineering with large-scale data.
• Understanding of responsible AI and model interpretability.
• Strong interpersonal skills and teamwork.

Responsibilities

• Deliver advanced AI solutions using ML, generative and agentic AI tech.
• Drive adoption of modern AI frameworks and scalable cloud-native architectures.
• Translate business challenges into trustworthy AI solutions with customers.
• Mentor colleagues and foster innovation and engineering excellence.

Skills

Python programming

Cloud platforms (Azure, AWS)

Kubernetes & Docker

Data engineering for AI

Responsible AI principles

Team collaboration

Education

Bachelor's degree in Computer Science or related

Tools

PyTorch

TensorFlow

Job description

Join Kainos and Shape the Future

At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.

We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.

Ready to make your mark? Join us and be part of something bigger.

J** OB P ROFILE DESCRIPTION**

Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-longtrack recordof delivering impactful, production-grade AI solutions for clients across government, healthcare,defence,and commercial sectors. Kainos is at the forefront of AI innovation,trusted by Microsoft,AWS,andothersto deliver advanced AIand datasolutions atcitizenscale.

Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data.We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guideand we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at thecutting edgeof AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability.

M** AIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS :

As aSeniorAI Engineer at Kainos, you will deliver advanced AI solutionsleveragingstate-of-the-artmachine learning,generativeand agenticAI technologies. You will drive the adoption of modern AI frameworks,AIOps best practicesand scalable cloud-native architectures. Your role will involve hands-on technicaldelivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout.As a technical mentor, you will foster a culture of innovation, continuouslearning,and engineering excellence.

It isa fast-pacedenvironment,so it is important for you to make sound, reasoned decisions.You willdo this whilst learning aboutnew technologiesand approaches, with talented colleagues that will help you to develop and grow. You willsupport your colleagues and more junior developers, providingdirectionsupportas you solve challenging problems together.

M** INIMUM(ESSENTIAL)REQUIREMENTS**:

• A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field.

• Demonstrable experience of deploying modern AI/ML solutions into production,including prompt engineering, retrieval-augmented generation (RAG),modelevaluation,andmonitoringusing metrics (e.g. precision, recall, NDCG and drift detection).

• Strong Python skills with a grounding in software engineering best practices(CI/CD, testing, code reviews etc).

• Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker.

• Expertisein data engineering for AI: handling large-scale, unstructured, and multimodal data.

• Understanding of responsible AI principles, modelinterpretability,and ethical considerations.

• Strong interpersonal skillsand team working.

D** ESIRABLE :

• Demonstrable experience with modern deep learning frameworks (e.g.PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn,XGBoost).

• Experience with data storage for AI, vector databases, semanticsearch,and knowledge graphs.

• Contributions to open-source AI projects or research publications.

• Familiarity with AI security, privacy, and compliance standardse.g. ISO42001.

**Embracing our differences

At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.

Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.

We understand that everyone’s journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.