10 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Own discovery, solution building, pilot scoping, automation delivery, evaluation, and go-live for multiple enterprise accounts.
- Map customer workflows and SOPs into prompts, just-in-time context, configurations, unattended-mode workflows, and integrations.
- Design end-to-end data and information flows across third-party enterprise applications and anticipate integration bottlenecks.
- Configure MCP servers and connectors, orchestrate tool calls, and engineer prompts and structured context for automations.
- Build evaluation suites that measure accuracy, determinism, error handling, and edge cases, using results to gate production readiness.
- Debug failures, tune prompts and automations, validate solutions in production, track usage and success, and resolve post-go-live gaps.
- Create reusable use cases, prompts, templates, integrations, and repeatable 0-to-1 automation patterns for the shared playbook.
- Maintain account project tracking, identify recurring capability gaps, and represent the products in customer demos and workshops.
- Travel to customer sites in the US/EU as needed and maintain availability for late-evening calls across time zones.
Requirements
- 4+ years of experience in a customer-facing technical role such as forward-deployed engineering, solutions engineering, or enterprise software/SaaS implementation consulting.
- Ability to scope ambiguous customer problems into working solutions quickly and with minimal supervision.
- Hands-on comfort with prompts, automation logic, debugging, MCP servers, tool or function calls, and evaluation of LLM-driven automations.
- Strong systems thinking and ability to understand how technical components across legacy and modern enterprise applications connect.
- Experience designing holistic testing architectures for multi-system workflows, accuracy, error handling, edge cases, and full data lifecycles.
- Strong communication skills with customers and internal stakeholders.
- Exposure to AI agents, RPA, or workflow automation is a plus.
- Familiarity with SAP Ariba, Salesforce, D365, or SuccessFactors is a plus.
- Deep machine learning or model-training experience is not required.
Benefits
- Travel to customer sites in the US/EU as needed, with late-evening calls across time zones.
- Equal opportunity employer with support for flexibility and case-by-case exceptions to help manage work and life.
Categories
Forward Deployed
