Configure and implement Holistic AI for enterprise pilots and production deployments. Translate customer requirements into product configurations and integration patterns, troubleshoot backend deployments, advise on architecture, document runbooks, and relay product feedback to Engineering and Product. Partner with Account Management on complex engagements and communicate with technical and non-technical stakeholders across distributed teams.
Forward Deployed Engineers sit where product, engineering and customers meet. You'll configure and implement Holistic AI for enterprise deployments, make sure it works in real customer environments, and feed what you learn back to Product and Engineering.
This is hands-on delivery work with technical depth, not a UI-only or support-only role. Strong engineers who prefer customer deployment to core platform work may be an excellent fit.
What you'll do
- Lead or support the technical configuration and implementation of Holistic AI for customer pilots and production deployments.
- Translate customer requirements into workable product configurations and integration patterns.
- Use deep product knowledge and backend understanding to troubleshoot deployments and advise on architecture choices.
- Partner with Account Management on complex customer engagements.
- Document deployment patterns, runbooks and customer-facing technical guidance.
- Surface product gaps and feedback to improve the platform for future deployments.
What you'll bring
- A strong technical background in software engineering, solutions engineering or similar, and a willingness to work closely with customers.
- The ability to learn a complex product deeply and configure it for varied enterprise contexts.
- Backend or systems understanding (APIs, integrations, environments), not front-end only.
- Clear communication with technical and non-technical stakeholders.
- Comfort working across time zones in a distributed team, and strong written English.
Nice to have
- Experience in customer-facing technical roles: solutions engineering, implementation, professional services or field deployment.
- Experience with AI/ML products, or governance, security or compliance tooling.
- Familiarity with cloud deployment patterns and enterprise IT constraints.
Location and working model
- Bangalore, India.
- Remote, in a distributed team.
- Customer-facing work as needed for deployments and workshops.
Compensation
Indicative salary: $50,000 USD. We offer competitive benefits; details are shared during the hiring process.
Interview process
- HR screen
- Hiring manager interview
- Technical assessment
- Task or skills assignment
- Culture fit
- Offer
Similar Jobs
Cloud • Information Technology • Security • Software
Lead India-based data engineering and machine learning teams, overseeing architecture, production MLOps, data pipelines, governance, modeling standards, and SaaS reliability. Partner with Finance, Sales, Product, Platform, Security, and executive stakeholders to deliver trusted analytics and production ML outcomes. Hire, mentor, and manage geographically distributed engineers, establish monitoring and rollback practices, and guide model development, evaluation, serving, and continuous improvement.
Top Skills:
C++ClaudeCopilotCursorDatabricksDbtFivetranGeminiGoJavaNetSuiteNotebooklmPythonPyTorchSalesforceScikit-LearnSnowflakeSparkSQLTensorFlow
Automotive
Leads global supplier warranty recovery operations, analyzing claims, recovery trends, costs, and performance metrics. Manages supplier engagement, overdue recoveries, invoices, reconciliations, forecasts, dashboards, and monthly reporting. Partners with Finance, Warranty, Purchasing, Quality, Manufacturing, and Data Analytics teams to identify recovery opportunities, monitor financial targets, resolve bottlenecks, and recommend corrective actions to reduce warranty costs.
Automotive
Leads SAP S/4HANA plant setup and enterprise structure configuration across Purchasing and Finance, including MM, FI/CO, accounts payable, general ledger, intercompany, vehicle accounting, and reporting. Coordinates requirements with product teams, manages configuration timelines and documentation, supports testing, troubleshooting, cutover, transport sequencing, and go-live activities for plant rollouts or expansions.
Top Skills:
Sap ActivateSap Fi/CoSap MmSap S/4Hana
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
