Senior Forward Deployed Engineer – Enterprise AI Solutions

Job not on LinkedIn

🕒 May 4

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 36%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Resilinc

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Resilinc is a leading provider of supply chain risk management and resiliency solutions. The company uses advanced technologies such as AI for mapping, monitoring, and predictive analytics to offer deep supply chain visibility and risk scoring. With their proprietary data, Resilinc helps businesses ensure continuity by forecasting disruptions and collaborating effectively with global suppliers. They serve industries including aerospace, healthcare, and high-tech manufacturing, providing tools for compliance, business continuity planning, and ESG adherence. Their services cater to various business roles including CEO, CPO, and supply chain resiliency managers.

📋 Description

• Lead complex enterprise deployments from ambiguity to production • Partner with strategic customers and internal teams to understand business goals, technical constraints, data realities, delivery risks, and success metrics • Translate customer and business requirements into technical approaches, delivery plans, and production-ready outputs • Design, build, and deliver data ingestion and transformation utilities • Build ERP, Snowflake, Databricks, API, and external system integrations • Develop workflow automations and agentic AI deployment extensions • Create customer-specific data validation and enrichment tools • Build lightweight services, applications, and repeatable accelerators for enterprise deployments • Deploy and operationalize Resilinc’s agentic capabilities for disruption intelligence, tariff risk, forced labor compliance, supplier risk, multi-tier mapping, and event-driven workflows • Apply engineering discipline through clean code, testing, documentation, security, logging, observability, deployment readiness, operational handoff, and supportability • Unblock strategic customer go-lives, stabilize early production usage, reduce escalation risk, and accelerate customer outcomes • Identify repeated enterprise deployment patterns and provide recommendations to Product and Engineering • Contribute to operating models, standards, tooling, reusable templates, engagement rules, and handoff practices for forward-deployed engineering • Improve time-to-value, deployment quality, predictability, handoff quality, and platform leverage

🎯 Requirements

• 5+ years of experience in software engineering, implementation engineering, applied AI engineering, solutions engineering, data engineering, or a similarly technical role in enterprise software or AI-first SaaS • Strong hands-on coding experience, especially in Python • Experience building and shipping production-grade workflows, services, applications, integrations, or data utilities • Hands-on experience with Databricks, including PySpark, Delta tables, pipeline development, and data-sharing patterns • Experience building and managing data pipelines ingesting, validating, transforming, and operationalizing data from Snowflake, ERP systems, APIs, flat files, and customer data warehouses • Experience with data warehouse architecture, scalable ingestion workflows, data models, and transformation logic • Strong understanding of cloud-native application design and production practices, including deployment, testing, logging, monitoring, observability, and operational support • Experience translating ambiguous customer requirements into technical solutions, delivery plans, and production-ready outputs • Ability to work with technical and non-technical stakeholders, including executives, supply chain leaders, IT teams, data teams, implementation teams, Product, Engineering, Agent Success, and Support • Strong written communication skills with disciplined documentation and handoff practices • High ownership, strong execution, and comfort operating in ambiguous, fast-moving enterprise environments • Strong product and systems thinking • Experience with AI-enabled workflows, LLM-powered applications, agentic systems, or orchestration frameworks such as LangChain or LangGraph • Experience deploying AI or analytics solutions into enterprise operating environments • Experience turning repeated customer requirements into reusable accelerators, frameworks, templates, or productizable capabilities • Background in supply chain, risk management, manufacturing, procurement, logistics, compliance, or complex operational environments • Experience with variable enterprise data landscapes and inconsistent schemas • Experience balancing customer-specific delivery with long-term platform maintainability • Experience in forward-deployed engineering, field engineering, implementation engineering, or technical customer-facing engineering

🏖️ Benefits

• Fully remote work arrangement • Opportunities to connect in person • Full-stack benefits for health, wealth and wellbeing • Technical growth opportunities • Collaborative, empowering culture • Equal opportunity employment