We are seeking an Enterprise Agent Solutions Developer, who will be the hands-on expert responsible for designing, building, and deploying AI-powered automation and agent-based solutions to drive efficiency across enterprise SaaS business systems. You will independently design, prototype, and implement scalable & intelligent automation solutions that streamline cross-functional operations—spanning finance, sales, marketing, Legal, and HR—by integrating LLM-powered AI agents with tools like Salesforce, NetSuite, Workday, and other SaaS platforms. This role is ideal for someone who thrives in a high-growth tech environment, loves solving complex business problems with AI and automation, and can drive initiatives independently from concept to deployment.
What you'll be doing:
AI & Agent Development:
- Design and implement AI agents (LLM-driven copilots, taskbots, or autonomous agents) for real-time business process support and automation.
- Develop conversational interfaces, context-aware workflows, and agentic task execution using LLMs like OpenAI GPT-4, Gemini.
- Build prompt frameworks, RAG (Retrieval-Augmented Generation) pipelines, and fine-tuned models as needed for enterprise use cases
Intelligent Automation & Orchestration:
- Develop end-to-end automated workflows by orchestrating tasks across systems such as Salesforce, NetSuite, UKG, and other SaaS Apps.
- Leverage and extend platforms like Workato & Zapier for robust automation and event-driven orchestration.
- Integrate APIs, webhooks, and data services to enable seamless automation across siloed systems.
- Manage existing agents and changes needs from governance and audit perspective.
Cross-Functional Collaboration:
- Partner with business stakeholders and application owners to identify and scope high-impact automation opportunities.
- Translate business pain points into AI/automation solutions with clear measurable outcomes.
- Present prototypes, run demos, and gather iterative feedback to refine solutions for real-world usage.
Innovation & Delivery:
- Rapidly prototype AI solutions using internal tools and cloud AI platforms.
- Contribute to an internal library of reusable automations, agents, and orchestration patterns.
- Maintain high standards for automation quality, resilience, security, and observability.
- Stay current with trends in GenAI, SaaS automation, and orchestration tooling to ensure best-in-class implementations.