AI Lead / Architect

About Incedo

Incedo Inc. is a high-growth Digital, Data, and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.

We are building Incedo 4.0 — an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact.

Incedo delivers ROI from AI @ Scale through the “Power of 3”:

• Deep domain expertise
• AI & Data capabilities
• Engineering & Operations excellence

About Incedo

Incedo Inc. is a high-growth Digital, Data, and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.

We are building Incedo 4.0 — an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact.

Incedo delivers ROI from AI @ Scale through the “Power of 3”:

• Deep domain expertise
• AI & Data capabilities
• Engineering & Operations excellence

About the Role

We are seeking an experienced Agentic AI Lead / Architect to drive the design, development, and deployment of next-generation AI solutions. The ideal candidate will have hands-on experience building and scaling at least one production-grade Agentic AI platform , strong expertise in Python and AWS , and the ability to engage directly with clients while leading technical teams. This role will be responsible for architecting intelligent agent ecosystems, defining AI strategy, and delivering enterprise-scale AI solutions.

Key Responsibilities

• Lead the architecture, design, and implementation of enterprise-grade Agentic AI platforms and applications.
• Build and deploy autonomous AI agents leveraging LLMs, RAG, multi-agent orchestration frameworks, and workflow automation.
• Design scalable, secure, and highly available AI solutions using AWS cloud services.
• Collaborate with business stakeholders, clients, product teams, and engineering teams to translate business requirements into AI-driven solutions.
• Define architecture patterns, best practices, governance, monitoring, and AI observability standards.
• Drive technical decision-making across AI/ML, cloud infrastructure, vector databases, and agent frameworks.
• Mentor and guide engineering teams through solution design, development, deployment, and optimization.
• Lead client discussions, technical workshops, architecture reviews, and executive presentations.
• Ensure AI solutions meet enterprise standards for security, compliance, scalability, and performance.
• Stay current with emerging trends in Generative AI, Agentic AI, LLMs, and cloud-native architectures.

Required Qualifications

• 12+ years of overall software engineering experience, with at least 3+ years of experience in AI/ML or Generative AI solution architecture.
• Strong proficiency in Python , with experience building scalable AI applications.
• Deep expertise in AWS services, including Lambda, ECS/EKS, Bedrock, SageMaker, API Gateway, DynamoDB, S3, CloudWatch, and related cloud-native services.
• Proven experience designing and delivering at least one production-grade Agentic AI platform in an enterprise environment.
• Hands-on experience with:
• Large Language Models (OpenAI, Claude, Llama, Bedrock models, etc.).
• Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, and LangChain.
• RAG architectures and vector databases.
• Prompt engineering, AI evaluation, and observability.
• API design and microservices architecture.
• Strong knowledge of software architecture, distributed systems, and scalable application design.
• Experience leading technical teams and driving architecture governance.
• Excellent communication, stakeholder management, and client-facing presentation skills.

Preferred Qualifications

• Experience in Financial Services, Capital Markets, Banking, Trading, or Investment Management domains.
• Exposure to trading systems, market data platforms, risk management, or financial analytics.
• Experience implementing AI governance, security, and responsible AI practices.
• AWS Solutions Architect, Machine Learning, or AI-related certifications.