1 month ago
Colombo, Sri LankaSenior / Staff+
Responsibilities
- Architect and implement autonomous AI agents and multi-agent systems for sourcing, purchasing, vendor management, and approval workflows.
- Define agent boundaries, tool contracts, memory strategies, orchestration flows, prompting strategies, guardrails, output schemas, and versioning.
- Apply MCP/A2A interoperability patterns and enterprise integration approaches to connect agents with tools and workflows.
- Develop, test, document, deploy, and sustain production AI agents using reviewable code, automated testing, versioned releases, runbooks, and decision logs.
- Translate business processes, policies, business rules, and compliance requirements into structured agent workflows.
- Identify workflow risks, edge cases, and failure modes and design approvals, fallbacks, and escalation paths.
- Collaborate with implementation, sustaining engineering, product, platform, and customer stakeholders on deployment, validation, training, adoption, scalability, reliability, and cost/latency optimization.
- Lead technical discussions, drive alignment and implementation standards, and guide or mentor other engineers.
Requirements
- 5+ years of software engineering and/or applied AI engineering experience.
- 1–2 years focused on generative AI, agentic AI, and LLM-based systems in production.
- Strong software development or scripting experience with Python, JavaScript, or equivalent.
- Experience with MCP/A2A and emerging agent interoperability standards or patterns.
- Strong understanding of enterprise integrations, data flow, and automation logic.
- Familiarity with AI frameworks or orchestration platforms such as LangChain and LangGraph.
- Experience with safety and security practices for agentic systems, including guardrails, policy engines, and prompt-injection defenses.
- Ability to translate ambiguous business goals into technical architectures and executable delivery plans.
- Experience driving technical decisions, setting implementation standards, mentoring or guiding engineers, and building reusable engineering patterns.
- Strong testing, documentation, reliability, operational-readiness, analytical, problem-solving, and communication skills.
- Preferred exposure to Supply Chain, Asset Management, Procurement, or Field Service Management domains.
Benefits
- Flexible and hybrid work opportunities are available.
- The role offers collaboration with colleagues and customers in a global, diverse workplace.
- The company emphasizes inclusive workplace experiences, sustainability, innovation, and opportunities for worldwide impact.
Tech Stack
Categories
About IFS
IFS builds IFS Cloud, an enterprise suite covering ERP, EAM, FSM, SCM, and project/service management for manufacturers and asset‑intensive organizations. Its business model centers on software subscriptions and services for cloud and hybrid deployments, plus industry-specific modules and consulting. Founded in 1983 and headquartered in Linköping, Sweden, the company is privately held under EQT ownership and operates globally across industrial and service-focused markets.