AI Solutions Software Developer

AtkinsRéalis; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

AtkinsRéalis in the United States is seeking a Senior Software Developer to join our National Technology Practice, supporting key internal and external clients.

You will collaborate with Technology Team leaders and cross-functional business line teams to advance AI-enabled software, data, and analytics solutions that address real-world challenges, while contributing to architecture, governance, and scalable delivery.

Qualifications

• Experience designing and delivering AI-enabled software solutions for real-world problems.
• Strong background in data engineering, ML, and cloud-based architectures.
• Ability to lead project teams and communicate with clients and stakeholders.

Responsibilities

• Lead AI-enabled software development initiatives across internal and external clients.
• Collaborate with technology leaders and cross-functional teams to deliver scalable solutions.
• Develop data pipelines, integrate AI models, and govern project delivery.

Skills

AI expertise

Software development

Cloud platforms

Data engineering

Project leadership

Tools

Azure

SQL Server

Azure Data Lake Storage

Databricks

Azure Data Factory

DevOps

Job description

• We’re hiring an experienced and motivated Senior Software Developer in our National Technology Practice to support key internal and external clients
• You will work closely with Technology Team leaders and cross functional business line teams to support the development and growth of our advanced software development and AI capabilities
• Under direction, works collaboratively with industry experts, software developers, data specialists, project managers, and client stakeholders to design, build, and deliver AI-enabled software, data, and analytics solutions that solve important and impactful real-world problems
• Apply broad knowledge of leading-edge information technologies, data engineering, machine learning, cloud platforms, and software development practices to analyze complex datasets, integrate AI models and third-party services, and develop secure, maintainable, and scalable digital solutions
• Expected to take the lead in project-specific teams and support direct interaction with clients within the context of project progress meetings, design reviews, operations, and project production and delivery
• Major results expected include high-quality written, verbal, graphical, analytical, and technical deliverables in the form of software specifications, data documentation, architecture notes, operational concepts, analytical reports, dashboards, presentations, and working applications
• Serve as a credible AI expert in client meetings, conferences, proposal interviews, internal strategy sessions, and cross business unit discussions
• Develop reusable AI solutions, demo concepts, reference architectures, use case libraries, discovery templates, proposal language, and delivery playbooks
• Develop business cases that define expected benefits such as productivity improvement, cost reduction, cycle time reduction, service quality improvement, accuracy improvement, user adoption, and return on AI investment
• Use machine learning, natural language processing, OCR, automation, Generative AI, and model-integration techniques to support project delivery
• Evaluate whether a use case is best solved through deterministic automation, traditional software logic, analytics, machine learning, generative AI or third-party products
• Design and maintain integration patterns for third-party AI models, APIs, enterprise platforms, and software tools
• Support AI governance, model evaluation, data handling, security review, human-in-the-loop validation, responsible AI documentation, and client data-permission considerations
• Support Microsoft Azure-based data and application development, including SQL Server, Azure Data Lake Storage, identity and access management, backend deployment, Azure Data Factory, Databricks, and DevOps workflows as applicable
• Participate in client needs analyses, scope of work development, estimate development, project planning, design reviews, progress meetings, and operational discussions
• Work in close coordination with leadership, account leads, project managers and client resources
• Translate business requirements into software specifications, data requirements, architecture notes, workflow diagrams, and implementation tasks
• Build and manage data pipelines from diverse sources
• Perform other such duties as the supervisor may from time to time deem necessary
• Contribute AI strategy, technical approach, use case narratives, and differentiators for proposals and client presentations
• Develop and execute a practical AI growth strategy that identifies target clients, priority markets, high value use cases, and repeatable service offerings
• Create standard AI marketing materials that clearly communicate the organization’s AI value proposition
• Meet with existing and prospective clients to understand business challenges, operational pain points, data maturity, and opportunities for AI enabled improvement
• Work with client stakeholders, industry experts, software developers, data specialists, and project managers to define AI enabled solutions that solve real business problems
• Collaborate with clients and stakeholders to define software requirements and technical strategies
• Assist sales leads and project managers to estimate level of effort