Ai Lead / Architect
Incedo Inc.
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.
Vacancy posted 8 hours ago
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