Agentic AI Technology Lead

• Design, develop, and deploy agentic AI applications leveraging platforms such as OpenAI (ChatGPT), Google Gemini, and related LLM ecosystems
• Architect end-to-end AI-driven business workflows, including orchestration of multi-agent systems and tool integrations
• Lead the development of AI-enabled solutions using C++, TypeScript, and API-based architectures
• Apply advanced prompt engineering techniques to optimize AI outputs, accuracy, and contextual performance
• Design intuitive user interfaces and application experiences for AI-powered business tools

• Act as the technical lead for AI initiatives, making decisions on architecture, tooling, and implementation strategies
• Manage and coordinate offshore development teams, including non-native English-speaking engineers, ensuring clarity, efficiency, and delivery quality
• Drive execution within tight timelines and aggressive delivery schedules
• Provide hands-on support as needed in coding, debugging, and system integration

• Collaborate directly with business stakeholders and subject matter experts (SMEs) to:
  • Analyze existing business processes
  • Identify automation and AI transformation opportunities
  • Translate business requirements into technical specifications
• Operate effectively in a contractor/consultant capacity, adapting to varying client environments and expectations

• Ensure strict adherence to security protocols and enterprise standards
• Design and implement solutions that securely handle and process PII (Personally Identifiable Information)
• Apply best practices for data privacy, access control, and risk mitigation in AI systems
• Maintain compliance with internal and regulatory requirements for AI usage and data handling

Required Qualifications/Skills

• Bachelor’s degree in Computer Science, Information Technology, or related field.

• Proven experience building AI applications using:
  • OpenAI (ChatGPT), Gemini, or equivalent LLM platforms
• Strong programming skills in:
  • C++
  • TypeScript
  • Python
• Demonstrated expertise in:
  • Prompt Engineering
  • API integrations and microservices architecture

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  • AI/LLM orchestration and agent-based systems

• Experience designing and developing AI business applications and intelligent automation use cases
• Strong understanding of:
  • Conversational AI design
  • Context management and memory handling in AI systems
• Experience in application UI/UX design for AI-driven interfaces is strongly preferred
• Experience managing offshore/global development teams
• Ability to communicate effectively across language and cultural barriers
• Proven track record of delivering high-quality solutions under tight deadlines

• Experience managing offshore/global development teams
• Ability to communicate effectively across language and cultural barriers
• Proven track record of delivering high-quality solutions under tight deadlines

• Strong capability in business process analysis and solutioning
• Experience working directly with business stakeholders and SMEs
• Comfortable operating in contract-based or consulting roles

• Deep understanding of:
  • Secure application design
  • PII data handling best practices
  • Enterprise security protocols
• Experience working within regulated environments is a plus

• Experience with agent frameworks (e.g., Copilot, Semantic Kernel, custom orchestration frameworks)
• Familiarity with multi-agent architectures and RAG (Retrieval-Augmented Generation) systems
• Exposure to cloud platforms (Azure, GCP, AWS) supporting AI workloads
• Experience in enterprise automation ecosystems (RPA + AI integration)