AI Engineer

DISA Global Solutions is an industry-leading safety and compliance solutions provider with customers across the Globe since 1986 and more than 1200 Team members across more than 30 locations. When you join the DISA Team you join an industry leader that more than 30% of fortune 500 companies use. With a rich history of IT innovation we have more than 55000 customers and complete more than 10 million orders each year.

DISA is proud to be a Top Workplaces award winner across multiple locations in 2023. We offer competitive pay a robust benefits package and an exciting place to work. We have a collaborative and team-oriented culture with numerous opportunities for career advancement. We host monthly appreciation events and our internal learning and development team provides the resources for employees to engage in continuing education and training.

We are seeking a versatile AI Engineer to design architect build and operationalize secure scalable and production-grade applications with AI embedded within business services. The role is intentionally broad and fluid: the engineer will work across front-end back-end APIs cloud AI services and intelligent automation based on evolving business addition to Generative AI solutions the engineer is expected to build RPA bots enhanced with AI when automation opportunities arise.

Primary Focus: Full-stack AI applications Generative AI RAG agentic solutions AI document processing intelligent automation and RPA cloud AI architecture secure integration and production operations.

• Design and build end-to-end enterprise applications with AI capabilities integrated into business services and workflows.
• Develop responsive front-end applications using React and create secure back-end services using C#/.NET Core Python and REST APIs.
• Design end-to-end enterprise AI and Generative AI solutions aligned with functional security integration performance availability and cost requirements.
• Create high-level and detailed solution architectures architecture decision records data flows API contracts deployment patterns and technical specifications.
• Build Retrieval-Augmented Generation (RAG) AI agents copilots document intelligence conversational AI and intelligent workflow solutions.
• Build RPA bots and intelligent automation workflows integrating AI capabilities such as document understanding classification extraction summarization and decision support where relevant.
• Architect and implement Azure-based solutions using Azure OpenAI Azure AI Foundry Azure AI Search Azure AI Document Intelligence Azure Functions Service Bus API Management Storage and AKS.
• Architect and implement AWS-based solutions using Amazon Bedrock Bedrock Agents and Knowledge Bases Lambda S3 OpenSearch API Gateway ECS or EKS.
• Evaluate foundation models and select models based on quality latency safety data residency throughput and cost.
• Develop secure REST APIs microservices and event-driven processing components using C#/.NET Core and Python.
• Implement prompt management grounding structured outputs guardrails content safety evaluation observability and hallucination-reduction controls.
• Build CI/CD and Infrastructure-as-Code pipelines for repeatable provisioning testing and deployment across environments.
• Partner with product engineering security architecture compliance and business teams to move solutions from discovery and proof of concept into production.
• Conduct design reviews troubleshoot complex technical issues document engineering decisions and mentor junior engineers.

• Strong full-stack application development experience including React JavaScript/TypeScript C#/.NET Core Python REST APIs and service integration.
• Experience designing applications in which AI capabilities are embedded within user-facing and back-end business services rather than delivered only as standalone models or prototypes.
• Strong experience in AI solution design and architecture including cloud-native microservices event-driven API-led and containerized patterns.
• Hands-on experience with Generative AI LLMs prompt engineering embeddings vector search RAG tool/function calling and agent orchestration.
• Practical experience with Azure AI services and AWS Bedrock services in enterprise solution delivery.
• Hands-on experience building RPA bots and workflow automations using a leading RPA platform with the ability to integrate bots with APIs enterprise applications and AI services.
• Experience with FastAPI or similar API frameworks Core Web API OAuth 2.0 JWT managed identities RBAC secrets management and secure networking.
• Experience with relational and NoSQL data stores vector databases caching object storage and search platforms.
• Working experience with Docker Kubernetes Git Azure DevOps or GitHub Actions and Terraform Bicep or CloudFormation.
• Understanding of AI evaluation model monitoring prompt/version management telemetry responsible AI privacy and governance.
• Ability to work across changing priorities and select the appropriate engineering approach for AI applications full-stack development API integration or RPA automation.

• Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Engineering or a related discipline.
• 4-6 years of professional software engineering or AI engineering experience.
• Demonstrated experience designing and delivering full-stack applications and AI solutions on Azure and/or AWS.
• Experience taking applications AI solutions or automation bots through design development testing security review deployment monitoring and operational support.
• Strong analytical documentation stakeholder communication and technical problem-solving skills.

• Azure AI Engineer Associate Azure Solutions Architect AWS Solutions Architect AWS Machine Learning or relevant application development certification.
• Experience with Microsoft Copilot Studio Azure AI Foundry Agent Service Amazon Bedrock Agents or multi-agent frameworks.
• Experience with React-based enterprise applications Core services API gateways and modern authentication patterns.
• Experience with Power Automate Desktop UiPath Automation Anywhere or equivalent RPA platforms including AI-assisted automation use cases.
• Experience with document processing voice AI human-in-the-loop review workflow orchestration or enterprise automation.
• Knowledge of FinOps practices and cost optimization for AI workloads.
• Experience working in regulated or security-conscious enterprise environments.

• Applications and architectures are secure supportable scalable and aligned with enterprise standards.
• AI capabilities are effectively integrated into business services and deliver measurable quality reliability latency and cost performance.
• RPA bots are reliable maintainable auditable and appropriately enhanced with AI where it improves business outcomes.
• Proofs of concept are converted into production-ready implementations with complete operational controls.
• Technical documentation testing evidence deployment automation and monitoring are complete and reusable.
• Risks assumptions dependencies and design trade-offs are clearly communicated to stakeholders.

DISA Global Solutions is an equal opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race color religion caste gender gender identity or expression sexual orientation national origin age disability veteran status marital status or any other legally protected status. Any questions please contact our DISA Recruiting Team (Careers-India <>)