Enterprise Solutions Architect

Life at EvoluteIQ

We at EvoluteIQ believe in the power of transformation. We are committed to building an industry leading technology that will revolutionize the way enterprises conduct business. To make that happen, we need people who are generous, genuine, self-driven, and collaborative.

People who not only want to be a part of a fast-growing and radical thinking company, but who are kind and caring—about each other. We at EvoluteIQ thrive in the company of each other and make each other a better version of ourselves every day.

Could that be you

We are looking for an experienced Enterprise Solutions Architect to build clean, scalable, maintainable, and production-ready applications. The ideal candidate has hands-on experience taking Python applications into production, enforcing engineering best practices.

What you'll do at EvoluteIQ:

Key Responsibilities

• Understand customer business processes, application landscape, data sources, integrations, infrastructure, security policies and non-functional requirements.
• Translate requirements into complete solution architectures covering application, workflow, data, integration, AI, security and infrastructure.
• Design solutions using EIQ capabilities such as workflow/BPM, data processing, event processing, APIs/connectors, RPA, business rules, UI/application components and AI.
• Determine what should be implemented within EIQ, what should integrate with existing customer systems, and where custom extensions are appropriate.
• Design integrations with ERP, CRM, HRMS, ITSM, databases, APIs, messaging platforms, file systems and other enterprise applications.
• Design Kubernetes-based deployment architectures across AWS, Azure, private cloud or customer-managed environments, including databases, storage, networking, WAF, identity, secrets, logging and monitoring.
• Lead customer discovery and architecture discussions; create logical, integration, deployment and security architecture views; guide implementation teams and resolve cross-system technical issues.

Generative AI & Agentic AI

Working understanding of LLMs and model selection, prompt design, RAG, embeddings/vector stores, tool/function calling, agents and multi-agent patterns, context management, MCP-style tool integration, guardrails, human-in-the-loop and AI evaluation/monitoring.

What will you bring to the team

• 10+ years of building Enterprise Java based solutions & application architecture; distributed systems and microservices.
• Having technology awareness, exposure across Python, HTML5/CSS/JS frameworks, .NET based systems and architectures.
• Enterprise integration patterns: REST APIs, messaging, events, batch/file integration, ETL/data pipelines and databases – RDBMS, Big Data, Vector DBS & Graph DBs.
• Workflow/BPM, business process orchestration and low-code/ hyper automation concepts.
• AWS/Azure, Kubernetes/containerized deployments, identity/security, HA/DR and observability.
• Strong customer-facing communication, architecture documentation and ability to make pragmatic trade-offs across cost, complexity, scalability, security and maintainability.

What We Offer

• Opportunity to shape the strategy of a next-gen hyper-automation platform.
• Work with a cross-disciplinary team in a fast-growing, innovation-driven environment. Competitive compensation and growth opportunities.
• A culture of innovation, ownership, and continuous learning.

We value a range of diverse backgrounds, experiences, and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.