Jobs · Engineering · Colorado

AI Solutions Software Developer

AtkinsRéalis · Denver, CO · 1 wk ago
HybridEngineering$90k–$150k/yrFull-time

About the role

We're hiring an experienced and motivated SeniorSoftware 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.

Responsibilities

  • 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.
  • Create 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.
  • Participate in client needs analyses, scope of work development, estimate development, project planning, design reviews, progress meetings, and operational discussions.
  • Translate business requirements into software specifications, data requirements, architecture notes, workflow diagrams, and implementation tasks.
  • Build and manage data pipelines from diverse sources.
  • Work in close coordination with leadership, account leads, project managers and client resources.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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

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