Key Responsibilities
- Architect and lead end-to-end AI and Generative AI solutions across enterprise applications.
- Design solutions leveraging LLMs, RAG, AI agents, embeddings, vector databases, and prompt engineering.
- Define enterprise AI architecture standards, patterns, and technology roadmaps.
- Evaluate AI use cases and recommend appropriate models, platforms, frameworks, and architecture approaches.
- Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
- Lead architecture reviews, technical design sessions, and AI proof-of-concepts.
- Work closely with business stakeholders, engineering teams, and senior leadership to translate business needs into technical solutions.
- Establish best practices for AI security, governance, responsible AI, data privacy, scalability, and performance.
- Provide technical leadership and mentorship to engineering and AI development teams.
- Drive AI solutions from initial concept and POC through production implementation.
- Extensive experience in Solution Architecture, Enterprise Architecture, or AI Architecture.
- Strong hands-on experience designing Generative AI and LLM-based solutions.
- Deep understanding of RAG, AI agents, embeddings, vector databases, prompt engineering, and LLM application architecture.
- Experience with cloud AI platforms such as Azure AI / Azure OpenAI, AWS, or Google Cloud AI.
- Strong experience with Python, APIs, microservices, databases, and cloud-native architecture.
- Experience architecting secure and scalable enterprise applications.
- Knowledge of MLOps/LLMOps, model evaluation, monitoring, and deployment.
- Strong understanding of AI governance, responsible AI, security, and data privacy.
- Excellent communication, technical leadership, and stakeholder-management skills.
- Ability to communicate complex AI concepts to both technical and non-technical stakeholders.
- Experience building enterprise AI copilots, intelligent assistants, and agentic AI solutions.
- Experience taking GenAI solutions from POC to enterprise production environments.
- Knowledge of enterprise search and vector database technologies.
- Experience driving AI technology strategy and architecture decisions.
- Relevant Cloud, AI, or Solution Architecture certifications are preferred.
Skills Required
- Extensive experience in solution architecture, enterprise architecture, or AI architecture
- Hands-on experience designing generative AI and LLM-based solutions
- Deep understanding of RAG, AI agents, embeddings, vector databases, prompt engineering, and LLM application architecture
- Experience with cloud AI platforms such as Azure AI, Azure OpenAI, AWS, or Google Cloud AI
- Strong experience with Python, APIs, microservices, databases, and cloud-native architecture
- Experience architecting secure and scalable enterprise applications
- Knowledge of MLOps/LLMOps, model evaluation, monitoring, and deployment
- Understanding of AI governance, responsible AI, security, and data privacy
- Excellent communication, technical leadership, and stakeholder-management skills
- Ability to communicate complex AI concepts to technical and non-technical stakeholders
- Experience building enterprise AI copilots, intelligent assistants, and agentic AI solutions
- Experience taking generative AI solutions from proof-of-concept to enterprise production environments
- Knowledge of enterprise search and vector database technologies
- Experience driving AI technology strategy and architecture decisions
- Relevant cloud, AI, or solution architecture certifications
What We Do
Zealogics LLC provides a broad range of IT consulting, systems implementation and application outsourcing services through an optimized global delivery model. Zealogics builds deep knowledge of traditional product engineering across mechanical, electronics and software platforms, to enable clients to navigate their digital transformation. Zealogics values engineering techniques, automation frameworks, and reference models which are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies through a collaborative approach for execution. We help to harmonize processes, identify bottlenecks, and eliminate non-value tasks to deliver world-class products. With impeccable focus on client needs we connect specialized resources for the right positions, both for full time and contractual placements. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. Zealogics hires experienced people to solve a wide array of IT and Engineering challenges that our clients face. Our guarantee - Zealogics provides the best value services in town.
