Note: The job is a remote job and is open to candidates in USA. Nexus IT Group is seeking a Lead AI Engineer to design, build, and deliver production-grade AI applications, integrations, and automation. The role provides technical leadership, develops reusable AI engineering practices, and helps ensure solutions are secure, scalable, and ready for production.
Responsibilities
- 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:
- Create reusable patterns, frameworks, and implementation approaches that accelerate future AI initiatives
- Ensure solutions meet enterprise standards for performance, scalability, security, and maintainability
- Design and implement solutions leveraging modern AI technologies, including:
- Build intelligent workflows that integrate AI capabilities with enterprise systems and business processes
- Develop approaches for:
- 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
- Develop solutions that improve:
- Build automation that streamlines engineering and operational workflows
- Partner with infrastructure and operations teams to implement AI-enabled capabilities for:
- Create reusable templates, integrations, scripts, and implementation guides that help teams adopt AI-enabled workflows
- 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:
- 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
- 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
Skills
- 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
- 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
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field required
- Experience leading technical initiatives and mentoring engineering teams preferred
- 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
- Advanced degree preferred
- 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
Benefits
- Full-time employment
- Remote work
Company Overview