AI Tech Lead
COFORGE Marketing
Key Skills: Artificial Intelligence, AI Agents, and AI-driven skills development Location: Indianapolis, IN We at Coforge are hiring an experienced AI Technical Lead with a strong software engineering foundation and recent hands‑on experience in Artificial Intelligence, AI Agents, and AI-driven skills development. This role combines technical leadership, client engagement, and modern application development expertise across cloud-native architectures. The ideal candidate is a hands‑on leader who can guide engineering teams, architect scalable solutions, and confidently interact with clients to drive outcomes. Key Responsibilities Lead and mentor software development teams, ensuring best practices in design, coding, testing, and deployment. Architect and deliver AI-enabled solutions, including AI Agents, LLM integrations and AI-powered workflows and automation. Serve as a client‑facing technical lead, collaborating with stakeholders to translate business needs into technical solutions. Drive end‑to‑end delivery of modern applications, from architecture to production deployment. Design and implement cloud‑native solutions in AWS. Establish and enforce engineering standards, including CI/CD, observability, and security best practices. Lead design reviews, sprint planning, and technical decision‑making. Stay current with emerging trends in AI, agents, and generative technologies. Qualifications 8+ years of software engineering experience with progressive technical leadership Recent hands‑on experience. AI/ML solutions, especially AI Agents or LLM‑based systems. Proven experience working in AWS environments (Lambda, ECS/EKS, S3, API Gateway, etc.). Demonstrated ability to lead and scale high‑performing engineering teams. Experience in client‑facing roles, including presenting technical solutions to non‑technical stakeholders. Strong understanding of Microservices architecture, API design, Event‑driven systems. Good to Have Experience building and deploying AI agents or autonomous workflows. Familiarity with vector databases, embeddings, and RAG architecture. Knowledge of DevOps practices and infrastructure‑as‑code (e.g., Terraform, CloudFormation). Experience with Agile/Scrum methodologies. Exposure to enterprise integration patterns and large‑scale systems. #J-18808-Ljbffr
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Indianapolis, IN3 days ago
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