Key Responsibilities

Solution Design & Engineering

• Lead the design, development, testing, and implementation of AI-powered applications, integrations, accelerators, and reusable solution components
• Translate business requirements and technical challenges into scalable solution architectures and working software
• Build solutions that support:
  • Intelligent automation
  • Knowledge management and retrieval
  • Document processing
  • Decision support
  • Workflow optimization
  • Classification and triage
  • Productivity enhancement
• Create reusable patterns, frameworks, and implementation approaches that accelerate future AI initiatives
• Ensure solutions meet enterprise standards for performance, scalability, security, and maintainability

Generative AI & Intelligent Systems Development

• Design and implement solutions leveraging modern AI technologies, including:
  • Large language models (LLMs)
  • Foundation models
  • Retrieval-based architectures
  • Semantic search
  • Knowledge retrieval systems
  • AI orchestration frameworks
• Build intelligent workflows that integrate AI capabilities with enterprise systems and business processes
• Develop approaches for:
  • Prompt engineering
  • Context management
  • Workflow orchestration
  • Tool integration
  • Human oversight and review
  • Monitoring and evaluation
• Establish methods for measuring solution quality, effectiveness, performance, cost efficiency, and business impact
• Contribute reusable patterns and best practices that support broader AI adoption across the organization

AI-Powered Engineering & Automation

• Develop solutions that improve:
  • Software development productivity
  • Code quality
  • Testing and quality assurance
  • Documentation generation
  • Release readiness
  • Technical knowledge sharing
• Build automation that streamlines engineering and operational workflows
• Partner with infrastructure and operations teams to implement AI-enabled capabilities for:
  • Monitoring and observability
  • Incident analysis
  • Root cause investigation
  • Operational automation
  • Service management
  • Knowledge management
• Create reusable templates, integrations, scripts, and implementation guides that help teams adopt AI-enabled workflows

Integration, Security & Production Readiness

• Integrate AI capabilities with enterprise applications, APIs, data platforms, cloud services, collaboration tools, and workflow systems
• Apply secure software engineering practices throughout the solution lifecycle
• Collaborate with security, architecture, data, and governance teams to ensure solutions meet organizational standards
• Establish appropriate controls for:
  • Data protection
  • Identity and access management
  • Monitoring and logging
  • Testing and validation
  • Operational support
• Prepare solutions for production through performance testing, observability, documentation, deployment planning, and operational readiness reviews
• Proactively identify technical risks, dependencies, scalability concerns, and support requirements

Technical Leadership & Enablement

• Provide technical leadership for high-priority AI initiatives and complex engineering efforts
• Mentor engineers on architecture, coding standards, AI solution design, testing, and production readiness
• Participate in architecture reviews, design sessions, code reviews, and technical decision-making
• Develop technical documentation, implementation guides, reusable examples, and best practices
• Help establish engineering standards and promote adoption of modern AI development techniques
• Foster a culture of technical excellence, innovation, accountability, and continuous improvement

Qualifications

Experience

• 8+ years of experience in software engineering, cloud engineering, platform development, integration engineering, automation, data engineering, or related technical disciplines
• 5+ years of experience working with AI, machine learning, intelligent automation, advanced analytics, or emerging technologies
• Demonstrated experience designing and delivering production-grade applications, integrations, automation frameworks, or enterprise platforms
• Experience leading technical initiatives and mentoring engineering teams preferred

Technical Skills

• Strong hands-on experience with:
  • Generative AI technologies
  • Large language models (LLMs)
  • Prompt engineering
  • Retrieval-based AI architectures
  • Semantic search technologies
  • AI workflow orchestration
  • Knowledge retrieval systems
• Experience building intelligent applications that integrate with enterprise systems and workflows
• Strong software engineering background with experience in:
  • APIs and integration frameworks
  • Microservices architecture
  • Cloud platforms
  • CI/CD pipelines
  • DevSecOps practices
  • Test automation
  • Monitoring and observability
  • Security and identity management
• Proficiency in one or more modern programming languages such as Python, JavaScript/TypeScript, Java, C#, or similar technologies

Preferred Qualifications

• Experience implementing enterprise AI platforms and AI-powered productivity solutions
• Experience supporting highly regulated or security-conscious environments
• Experience building reusable engineering frameworks, accelerators, or developer productivity tools
• Familiarity with emerging AI orchestration, agent frameworks, and enterprise AI integration patterns

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field required
• Advanced degree preferred

Leadership Characteristics

• Hands-on technical leader who enjoys building and solving complex engineering challenges
• Strong problem solver with a practical, execution-focused mindset
• Results-oriented professional with strong ownership and accountability
• Collaborative partner who works effectively across engineering, operations, architecture, data, security, and business teams
• Excellent communicator capable of explaining technical concepts, tradeoffs, and recommendations to diverse audiences
• Continuous learner who embraces emerging technologies and helps elevate the capabilities of those around them