The Agentic Solutions Architect will design and deploy AI solutions for enterprise customers, focusing on automation, integration, and delivering high-quality projects with measurable impact.
About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!
About the Role
As an Agentic Solutions Architect (ASA) at Netomi, you will be the strategic and technical owner responsible for designing, architecting, and deploying large-scale Agentic AI solutions for enterprise customers. You will translate complex business processes into AI-driven workflows, define integration blueprints, and guide customers through their transformation to autonomous AI agents.
You will work closely with Customers, CSM, Integration Engineers, QA, Product, and Engineering to ensure end-to-end success of every deployment.
Responsibilities
- Lead discovery sessions with enterprise customers to understand business processes, operations, workflows, KPIs, and constraints.
- Identify automation opportunities and design agentic orchestration strategies using Netomi’s AI platform.
- Build detailed solution blueprints — workflows, data exchanges, escalation logic, guardrails, analytics, and agent lifecycle design.
- Define end-to-end Agentic AI architectures, covering intents, actions, tools, integration points, and decision logic.
- Work with customer technical teams to map integration dependencies (APIs, events, SSO, CRMs, ticketing systems, internal tools).
- Own the creation of integration design documents and support Integration Engineers during implementation.
- Ensure agent workflows comply with enterprise standards (security, reliability, audit, governance).
- Collaborate with Product & Engineering to translate customer requirements into features or enhancements.
- Serve as the product owner during deployment — driving priorities, clarifications, acceptance criteria, and workflow evolution.
- Validate solution behavior end-to-end with QA and guide test plans, scenario tests, and success criteria.
- Conduct user-experience reviews of agent outputs and behavior tuning.
- Act as a trusted advisor to customer stakeholders (CX, Ops, Digital Transformation, Engineering).
- Present architectural recommendations, best practices, and roadmap suggestions.
- Train customer teams on agentic workflows, governance, and performance improvement strategies.
- Ensure projects are delivered on time with high quality, low rework, and measurable impact.
- Drive continuous improvement through playbooks, reusable workflow templates, and integration patterns.
- Maintain deep expertise in agentic AI, LLMs, workflow orchestration, and enterprise systems.
Discovery & Solution Design:
Integration & Technical Leadership:
Implementation Leadership:
Customer Advisory & Relationship Building:
Delivery Excellence:
Requirements
- 4–10 years in Solutions Architecture / Implementation Consulting / Product Consulting / Workflow Design for enterprise SaaS or AI platforms.
- Experience designing complex workflows and integrations across enterprise systems.
- Ability to gather requirements, translate them into technical specifications, and drive execution.
- Customer-facing consulting experience with strong communication & facilitation skills.
- Understanding of REST APIs, event-driven systems, data flows, and enterprise integrations.
- Experience working cross-functionally with CSM, engineering, product, and QA teams.
- Background in Conversational AI, Agentic AI, RPA, Automation, CRM/Ticketing, or LLM-based products.
- Hands-on experience defining business logic, decision trees, or automated workflows.
- Experience with enterprises such as airlines, BFSI, telecom, retail, or large-scale customer support environments.
Must-Have:
Nice-to-Have:
Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
Top Skills
Agentic Ai
Ai Platforms
CRM
Enterprise Systems
Llms
Rest Apis
Rpa
Workflow Orchestration
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.
Top Skills:
AgileConfluenceJIRAKanbanScrum
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Staff Software Engineer, you'll architect and develop platform solutions, mentor junior engineers, and solve technical challenges utilizing Golang and modern cloud technologies, within a high-performing team focusing on AI and customer experience.
Top Skills:
DockerDynamoDBGoLanguage ModelsMongoDBPostgres
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Architect and develop payment solutions for Coinbase's backend, focusing on scalable systems, service-oriented architecture, and high-quality code. Collaborate with cross-functional teams and provide technical structure and strategic roadmaps.
Top Skills:
DockerDynamoDBGoJavaMongoDBPostgres
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
