AI Solution Architect | Full-Time
We are seeking an experienced and forward-thinking ELITEA Architect to lead enterprise AI adoption and solution architecture on the ELITEA Agentic AI Platform. In this strategic role, you will design scalable, intelligent AI-powered solutions, define architecture standards, and guide customer and internal teams in implementing AI-driven workflows and autonomous agents that deliver measurable business outcomes.
Req# 1036025766
Responsibilities
- Define and own the architecture strategy for AI, GenAI, and Agentic AI solutions built on the ELITEA platform
- Design scalable, secure, and reusable AI agent architectures aligned with enterprise standards and governance requirements
- Collaborate with business and technology stakeholders to identify AI adoption opportunities and translate business needs into actionable solution designs
- Establish integration patterns with enterprise systems, APIs, knowledge repositories, and third-party tools
- Provide architectural guidance on agent orchestration, prompt engineering, governance, security, and responsible AI practices
- Lead solution reviews, architecture assessments, and technical decision-making across multiple teams and workstreams
- Mentor development, QA, and platform teams on AI solution implementation and architectural best practices
- Support customer onboarding, AI adoption programs, and enterprise governance initiatives
- Create architecture blueprints, reference architectures, reusable frameworks, and implementation standards
- Conduct client workshops, executive presentations, technical demonstrations, and architecture reviews
- Continuously evaluate emerging AI technologies and recommend innovations to enhance platform capabilities
Requirements
- 10+ years of experience in software engineering, solution architecture, or enterprise application architecture
- Strong understanding of AI, GenAI, LLMs, Agentic AI concepts, RAG, prompt engineering, and AI solution design
- Proven experience designing enterprise-scale applications, integrations, and cloud-native architectures
- Hands-on experience with APIs, microservices, workflow automation, and integration frameworks
- Proficiency with one or more cloud platforms: Azure, AWS, or GCP
- Excellent stakeholder management, communication, and consulting skills
- Demonstrated ability to work effectively with business leaders, development teams, and client stakeholders
- Preferred Skills:
- Experience with ELITEA or similar Agentic AI platforms
- Familiarity with GitHub Copilot, Azure OpenAI, Azure AI Services, and AI governance frameworks
- Exposure to Python, workflow orchestration platforms, automation frameworks, and AI development tools
- Understanding of Agile, Scrum, SAFe, and modern DevOps practices
- Experience leading enterprise AI transformation or large-scale AI adoption initiatives
Nice to have
- Experience with AI security, compliance, and responsible AI practices and frameworks
- Knowledge of vector databases, knowledge management systems, and Retrieval-Augmented Generation (RAG) architectures
- Experience working in large-scale, multi-vendor enterprise environments
