AI Lead / Architect

Incedo Inc.; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Incedo Inc. is seeking an experienced Agentic AI Lead / Architect to drive design, development, and deployment of next-generation AI solutions.

The role requires hands-on experience building production-grade Agentic AI platforms, strong Python and AWS expertise, and the ability to engage with clients while leading technical teams. You will architect intelligent agent ecosystems and define AI strategy for enterprise-scale implementations.

Qualifications

• 12+ years of software engineering experience with 3+ years in AI/ML or Generative AI solution architecture.
• Strong proficiency in Python and experience building scalable AI applications.
• Deep expertise in AWS services including Lambda, ECS/EKS, Bedrock, SageMaker, API Gateway, DynamoDB, S3, CloudWatch.
• Proven experience delivering at least one production-grade Agentic AI platform in an enterprise environment.
• Hands-on experience with LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain.
• Experience with RAG architectures and vector databases.
• Expertise in prompt engineering, AI evaluation, and observability.
• Strong API design and microservices architecture skills.
• Leadership experience guiding technical teams and architecture governance.

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 stakeholders to translate business requirements into AI-driven solutions.
• Define architecture patterns, governance, monitoring, and AI observability standards.
• Drive technical decisions across AI/ML, cloud infrastructure, vector databases, and agent frameworks.
• Mentor engineering teams through design, deployment, and optimization.
• Lead client discussions, architecture reviews, and executive presentations.
• Ensure AI solutions meet security, compliance, scalability, and performance standards.
• Stay current with Generative AI, Agentic AI, LLMs, and cloud-native architectures.

Skills

Python

AWS

Agentic AI

LangGraph

CrewAI

AutoGen

Semantic Kernel

LangChain

RAG

Vector Databases

Prompt Engineering

API Design

Microservices

Distributed Systems

Team Leadership

Tools

Lambda

ECS/EKS

Bedrock

SageMaker

API Gateway

DynamoDB

S3

CloudWatch

Job description

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”:

• 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”:

• 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:
• 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.