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Job Type: Permanent
Location: Letterkenny, Co.Donegal (Hybrid - 3 days onsite)
Join a global tech leader right here in Donegal. TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve. With over 850 employees and a state-of-the-art global delivery centre, we’re proud to offer world-class career opportunities without having to leave the Northwest. Recognised as Workplace of the Year by the Letterkenny Chamber, we foster a culture of continuous learning, innovation, and respect. Our people are at the heart of everything we do – collaborating across teams, geographies, and disciplines to drive real change for clients around the world. Be part of something global, grounded in Donegal.
Careers at TCS: It means more
TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
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Lead the engineering of machine learning models and Agentic AI systems that solve sophisticated business problems.
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Collaborate across Product, Data Science, Data Engineering, Analytics and DevSecOps teams.
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Build scalable, production-ready AI capabilities while coaching others and embedding continuous learning and innovation.
The Role
As a
Senior AI Engineer, you will lead the engineering of Agentic AI systems and partner with Data Scientists, Data Engineers, Data Analysts, DevSecOps and other professionals to implement machine learning models and Agentic AI systems that deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems and deploy innovative products, services and experiences that delight our customers. In addition to advanced technical expertise and experience, you will bring excellent problem-solving, communication and teamwork skills, agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Your responsibilities:-
Architect, design, develop and deploy machine learning models and Agentic AI systems that solve real-world business problems, working in collaboration with Product and Data Science teams, and remove complex technical impediments.
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Solve complex problems by writing and testing application code, developing and validating machine learning models and Agentic AI, and automating tests and deployment using LLM tools such as Claude Code.
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Leverage cloud-based architectures and technologies to deliver optimized machine learning models at scale.
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Construct optimized data, ingestion and memory pipelines to feed machine learning models and Agentic systems.
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Apply continuous integration and continuous deployment best practices, including test automation and monitoring, to support successful deployment of machine learning models and application code.
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Maintain a strong understanding of relevant and emerging technologies, provide input, coach team members, and embed learning and innovation into day-to-day work.
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Work on complex problems where analysis of situations or data requires evaluation of intangible variables.
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Use programming languages including, but not limited to, Python, C++ and SQL.
Your Profile:
Essential skills/knowledge/experience:
- Bachelor’s degree in Computer Science or Engineering, or experience in related fields.
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Advanced experience and/or expertise across several software engineering and system design areas, including requirements analysis, coding, testing, version control, microservices architecture, RESTful APIs, distributed computing, architecture patterns, computer architecture and object-oriented programming.
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Strong understanding of machine learning and deep learning, including supervised, unsupervised and reinforcement learning; algorithms such as linear and logistic regression; frameworks such as TensorFlow, PyTorch and scikit-learn; neural networks, NLP, computer vision and predictive analytics.
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Experience in model performance and governance, including model monitoring and validation, bias detection, explainability, performance, drift, outliers and agent observability.
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Thorough understanding of the Agent Development Life Cycle (ADLC), CI/CD/CT pipelines using tools such as GitHub Actions, Jenkins and CloudBees, A/B testing, pipeline frameworks such as MLflow and SageMaker Pipelines, and model and data versioning.
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Experience in data integration, transformation and processing, including data mapping and wrangling, big data ecosystems, relational, NoSQL and graph databases, unstructured and semi-structured data, distributed processing with Spark or PySpark, and knowledge graphs.
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Knowledge of database structures and efficient use, including multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, SQL, NoSQL, graph or ontology databases, semantic data models and knowledge graphs.
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Strong knowledge of statistics and computing, including linear algebra, probability and statistics, multivariate calculus, and distributions such as Poisson, Normal and Binomial.
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Programming experience in Python, C++ and SQL.
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Excellent problem-solving, communication and collaboration skills.
Desirable skills/knowledge/experience:-
Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives for the benefit of the organization.
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Experience with agile development methodologies and Specification-Driven Development (SDD).
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Knowledge of business concepts, tools and processes needed to make sound decisions in the context of the company’s business.
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Ability to learn new skills and knowledge on an ongoing basis through self-initiative and by tackling challenges.
Rewards & Benefits
TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop and access to extensive training resources and discounts within the larger Tata network.
We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon and partner with our local communities in Ireland.
Diversity, Inclusion and Wellbeing
Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the Ireland Employment Equality Acts 1998-2011 (as amended) and the Equal Status Acts 2000-2012 (as amended).
We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.
As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at
[email protected] if you would like to opt in.
If you are an applicant who needs any adjustments to the application process or interview, please contact us
at [email protected] with the subject line: “Adjustment Request” to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
Beware of Fraudulent offers
This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to
[email protected] to report any fraudulent activity.
Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.
Join us and do more of what matters. Apply online now. 