[Remote] Lead AI Solutions Engineer 0626
Note: The job is a remote job and is open to candidates in USA. Nexus IT Group is a technology-focused company seeking a Lead AI Solutions Engineer to spearhead the design and implementation of AI-powered applications and solutions. The role involves leading technical initiatives, mentoring teams, and ensuring solutions adhere to enterprise standards for performance and security.
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: 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
- 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
- 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
- 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
- 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
- Strong hands-on experience with large language models (LLMs)
- Strong hands-on experience with prompt engineering
- Strong hands-on experience with retrieval-based AI architectures
- Strong hands-on experience with semantic search technologies
- Strong hands-on experience with AI workflow orchestration
- Strong hands-on experience with 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
- Strong software engineering background with experience in microservices architecture
- Strong software engineering background with experience in cloud platforms
- Strong software engineering background with experience in CI/CD pipelines
- Strong software engineering background with experience in DevSecOps practices
- Strong software engineering background with experience in test automation
- Strong software engineering background with experience in monitoring and observability
- Strong software engineering background with experience in 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
Company Overview