Davies North America

Global insurance professional services and tech

AI / .NET Specialist - Engineering/AI

AI Application Engineering +1Updated on Nov 13

Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

Deep specialism in one or more of back-end, front-end, cloud, or DevOps, with broad exposure to the modern Microsoft-centric stack, including .NET, C#, React/TypeScript, Azure, Terraform, and SQL Server.
Ability to design, develop, and deliver robust, scalable, secure, and maintainable software solutions.
Knowledge of modern engineering practices, cloud-native architectures, and Agile delivery environments.
Ability to solve complex technical problems, set engineering direction, and collaborate across functions to meet strategic and operational objectives.
Ability to follow SOLID principles, design patterns, and OWASP guidelines when writing code.
Knowledge of microservices, containerised applications, and event-driven components.
Experience implementing automated testing approaches, including test-driven development, integration testing, and continuous integration/continuous delivery pipeline automation.
Knowledge of site reliability engineering practices, including observability, resilience engineering, and performance tuning.
Familiarity with large language models, generative artificial intelligence, and cloud technologies.

Responsibilities

Lead a cross-functional generative artificial intelligence-focused software development team.
Integrate large language model application programming interfaces into existing platforms to enhance user interactions, decision-making, and automation capabilities.
Enhance applications with agentic artificial intelligence capabilities to enable autonomous decision-making and improve business workflows.
Collaborate with product, data science, and engineering teams to develop artificial intelligence-driven features and optimise system performance.
Use generative artificial intelligence tools, including GitHub Copilot, to accelerate development processes.
Deploy and manage applications on cloud platforms, ensuring scalability, security, and reliability.
Stay current with advancements in large language models, generative artificial intelligence, and cloud technologies, and apply relevant innovations to improve platform capability and performance.
Lead the design and development of high-quality, cloud-native applications aligned to strategic technologies.
Write clean, maintainable, and secure code following SOLID principles, design patterns, and OWASP guidelines.
Develop microservices, containerised applications, and event-driven components.
Implement automated testing approaches, including test-driven development, integration testing, and continuous integration/continuous delivery pipeline automation.
Support site reliability engineering practices such as observability, resilience engineering, and performance tuning.
Work with Architects, Product Owners, Platform Engineers, and quality assurance teams to align technical solutions with business goals.
Liaise with third-party software partners throughout design, build, support, and maintenance cycles.
Participate in Agile ceremonies, contributing to planning, refinement, retrospectives, and continuous improvement.
Encourage user-centred design by working with user experience and user interface colleagues to ensure intuitive, high-quality user experiences.

The Specialist - AI / .NET is a senior technical authority within the engineering organisation, responsible for designing, developing, and delivering high‑quality software solutions that power Davies’ UK&I technology estate. The role provides hands‑on technical leadership across modern engineering practices, cloud‑native architectures, and Agile delivery environments, ensuring that engineering squads consistently deliver robust, scalable, secure, and maintainable software. Acting as a role model for engineering excellence, the Specialist - AI / .NET mentors developers at all levels, promotes best practice, and drives continuous improvement in code quality, patterns, tooling, and development workflows. The role is responsible for solving complex technical problems, setting engineering direction, and collaborating with cross‑functional teams to ensure solutions meet strategic and operational objectives. This role is ideal for a highly skilled, T‑shaped engineer with deep specialism in one or more areas (back‑end, front‑end, cloud, DevOps) and broad exposure across the modern Microsoft‑centric stack including .NET, C#, React/TypeScript, Azure, Terraform, and SQL Server.

Lead a cross-functional generative AI-focused software development team.
Integrate LLM APIs into existing platforms to enhance user interactions, decision-making and automation capabilities.
Enhance applications with agentic AI capabilities to enable autonomous decision-making and improve business workflows.
Work collaboratively across product, data science and engineering teams to develop AI-driven features and optimise system performance.
Utilise generative AI tools, including coding assistants such as GitHub Copilot, to accelerate development processes.
Deploy and manage applications on cloud platforms, ensuring scalability, security and reliability.
Stay current with advancements in LLMs, generative AI and cloud technologies, and apply relevant innovations to improve platform capability and performance.

Lead the design and development of high‑quality, cloud‑native applications aligned to strategic technologies.
Write clean, maintainable, secure code following SOLID principles, design patterns, and OWASP guidelines.
Develop microservices, containerised applications, and event‑driven components.
Implement automated testing approaches including TDD, integration testing, and CI/CD pipeline automation.
Support SRE (site reliability engineering) practices such as observability, resilience engineering, and performance tuning.
Work closely with Architects, Product Owners, Platform Engineers, and QA teams to ensure alignment between technical solutions and business goals.
Liaise with 3rd‑party software partners throughout design, build, support, and maintenance cycles.
Participate in Agile ceremonies, contributing to planning, refinement, retrospectives, and continuous improvement.
Encourage user‑centred design, working with UX/UI colleagues to ensure intuitive, high‑quality user experiences.

About the Company

Davies North America

Global insurance professional services and tech

Davies North America is a global professional services and technology company that began in the UK as an insurance claims manager. It now provides technology, consulting, and legal solutions to clients in regulated industries, including insurance, through managed services, outsourcing, and advisory offerings. The company grows by acquiring other businesses to expand its geographic reach and service capabilities. Its goal is to become a global leader in professional services and technology for regulated industries, particularly in markets like the US, Canada, and Bermuda.

Company size: 5,001-10,000
Company stage: Debt Financing
Total funding: $363M
Headquarters: London, United Kingdom
Founded: 1968

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