Delta Controls

Project Manager

• Lead the end-to-end delivery of development initiatives from initiation through execution to release ensuring delivery within scope, schedule and budget
• Develop and maintain integrated project plans that account for cross-functional and external dependencies
• Collaborate with the product manager, engineering teams, business stakeholders and external partners including contracted organizations and independent contractors to define project goals, deliverables, and success criteria
• Ability to gather, document, and validate business requirements from internal and external stakeholders, and translate them into clear, actionable tasks for technical teams
• Ensure project timelines, dependencies, risks, and deliverables are clearly defined, communicated, and managed
• Facilitate cross-organizations meetings using agile ceremonies as appropriate (e.g., sprint planning, stand-ups, retrospectives, reviews)
• Track project progress and communicate status, risks, and mitigation plans to stakeholders and leadership
• Ensure alignment between business requirements and technical implementation and provide clear, consistent status reporting to internal leadership and external stakeholders
• Partner with internal teams to align on training, resources, and enablement needs
• Support continuous improvement by identifying process gaps and recommending best practices
• Maintain project documentation, including plans, schedules, and status reports
• Adapt project management approach (Agile, hybrid, or waterfall) based on project needs and organizational standards

AI Engineer

• Design, develop, and maintain internal AI agents and applications that enhance productivity, decision-making, and operational efficiency across multiple business units.
• Integrate AI solutions with existing internal systems, data sources, and workflows.
• Prototype, test, deploy, and iteratively improve AI tools based on user feedback and evolving requirements.
• Ensure AI solutions are reliable, maintainable, and scalable for organization-wide use.
• Work with stakeholders across the organization to identify and assess areas where AI can be effectively applied.
• Translate business needs and operational challenges into practical AI-driven solutions.
• Implement appropriate AI guardrails, including data access controls, usage policies, and prompt or model constraints.
• Collaborate closely with internal IT and Cybersecurity teams to design, review, and deploy AI solutions that meet infrastructure, security, and risk management standards.
• Research emerging AI technologies, models, frameworks, and tools relevant to internal business use.

Applied AI Developer

QA Engineer

• Develop and maintain test plans for multi-agent, LLM-driven features and workflows
• Design and execute functional, integration, end-to-end, and regression tests for cloud-based AI services
• Validate retrieval pipelines, embeddings, knowledge-base updates, and AWS Bedrock/serverless integrations
• Build automated test suites (Python preferred) for backend workflows and microservices
• Collaborate with developers to define quality criteria, ensure testability, and troubleshoot APIs, agents, and cloud infrastructure
• Contribute to documentation for test cases, quality processes, and release readiness

Intermediate AI Software Quality Assurance, QA

• Design and execute test plans for cloud APIs, orchestration pipelines, microservices, and user-facing React UIs
• Validate REST/GraphQL API behavior, error handling, performance, and cross-service interactions
• Test emulated firmware executing in Kubernetes (EKS) and verify orchestration workflows
• Build automated test suites (Python or TypeScript preferred) for APIs, UI flows, and containerized services
• Develop end-to-end tests that cover full cloud: orchestration, firmware, UI workflows
• Work closely with developers to understand features, identify risks, and ensure testability
• Investigate failures across logs, microservices, cloud services, and containerized components
• Participate in code reviews, architecture discussions, and system-level troubleshooting
• Contribute to documentation of test cases, quality processes, deployment validation, and automation coverage

Project Manager

Applied AI Developer

Intermediate AI Software Quality Assurance, QA

Intermediate Software Quality Assurance, Cloud Platform