Enterprise Architect

TECHNEPTUNE CONSULTING INC; Las Vegas (NV); Hybrid; USD 120,000 - 180,000; Full time

Job summary

TECHNEPTUNE CONSULTING INC is seeking an Enterprise Architect to design agentic AI systems for CRM and BPM, tying business needs to scalable technology. This hybrid Las Vegas role demands hands-on leadership and clear communication across stakeholders.

You will shape the SDLC, build autonomous agents, optimize AI pipelines on Google Cloud, and integrate with CI/CD, QA, and DevOps to advance practical AI capabilities.

Qualifications

• : Proven experience as an AI Architect, ML Engineer, or similar role with a focus on agentic or autonomous systems.
• : Strong expertise in Google Cloud Platform and its AI/ML ecosystem.
• : 2 years of experience in building AI/ML solutions, with at least 1 year focused on generative / Agentic AI.
• : 3 years experience developing or working with CRM and BPM solutions
• : Familiarity with software testing tools (e.g., Selenium, TestNG, JUnit) and lifecycle processes.
• : Experience deploying and managing agents on AgentSpace or similar platforms. Excellent problem-solving, communication, and leadership skills

Responsibilities

• Architect and design agentic AI systems tailored for CRM and BPM solutions including requirements to backlog, backlog to build and build to deploy phases of the SDLC
• Lead the development of autonomous agents capable of reasoning, learning, and collaborating across the test life cycle.
• Build and optimize AI pipelines using Google Cloud services (Vertex AI, BigQuery, Cloud Functions, etc.).
• Integrate agents with CI/CD pipelines, test management tools, and developer environments.
• Ensure seamless deployment and orchestration on AgentSpace, leveraging its capabilities for agent lifecycle management, communication, and scalability.
• Collaborate with cross-functional teams including QA, DevOps, and product engineering to align AI capabilities with business goals.
• Define and enforce best practices for agentic AI, including safety, interpretability, and performance monitoring.
• Stay ahead of emerging trends in LLMs, multi-agent systems, and autonomous software engineering.

Skills

Hands-on Architect

Excellent communicator

Event-driven systems

CRM/BPM knowledge

Leadership

AI/Agentic systems

Problem solving

Design leadership

Tools

Google Cloud Platform (GCP)

AgentSpace or similar

CI/CD tooling

Selenium

TestNG

JUnit

Job description

Job Title: Enterprise Architect

Location: Las Vegas NV- Hybrid

Job Type: Contract/Fulltime

JD - Enterprise Architect :

• Definitely Need a hands-on architect with great career progression at the forefront of technology boundaries
• Has to be clear in their explanations & has to be exposed to many challenges
• His ability to link a variety of factors into a simple explanation .
• Has to be very good in event-driven systems, design considerations, performance engineering, and problems caused by schema changes
• Quick thinker and be able to come up with good answers to one or two very challenging problems - & be able to elaborate multiple perspectives - how different groups may treat a particular challenge (ex: business mindset vs technology mindset)
• Excellent communication skills, especially when explaining technical concepts in laymen terms.

Key Responsibilities:

Architect and design agentic AI systems tailored for CRM and BPM solutions including requirements to backlog, backlog to build and build to deploy phases of the SDLC

Lead the development of autonomous agents capable of reasoning, learning, and collaborating across the test life cycle.

Build and optimize AI pipelines using Google Cloud services (Vertex AI, BigQuery, Cloud Functions, etc.).

Integrate agents with CI/CD pipelines, test management tools, and developer environments.

Ensure seamless deployment and orchestration on AgentSpace, leveraging its capabilities for agent lifecycle management, communication, and scalability.

Collaborate with cross-functional teams including QA, DevOps, and product engineering to align AI capabilities with business goals.

Define and enforce best practices for agentic AI, including safety, interpretability, and performance monitoring.

Stay ahead of emerging trends in LLMs, multi-agent systems, and autonomous software engineering.

Required Qualifications

Proven experience as an AI Architect, ML Engineer, or similar role with a focus on agentic or autonomous systems.

Strong expertise in Google Cloud Platform and its AI/ML ecosystem.2 years of experience in building AI/ML solutions, with at least 1 year focused on generative / Agentic AI.

3 years experience developing or working with CRM and BPM solutions

Familiarity with software testing tools (e.g., Selenium, TestNG, JUnit) and lifecycle processes.

Experience deploying and managing agents on AgentSpace or similar platforms.Excellent problem-solving, communication, and leadership skills