Senior Forward Deployed Applied Scientist I (Agentic AI)

DigitalOcean; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Equity compensation

Bonus potential

Employee Stock Purchase Program

Job summary

DigitalOcean is seeking an Agentic AI Applied Scientist in Bengaluru to design, build, and deploy autonomous agent architectures on our AI infrastructure. You will embed with startups and partners, translating real-world needs into high-performance, deterministic AI workflows.

Responsibilities include architecting multi-agent systems, prototyping cutting-edge frameworks, and creating reusable evals and safety guardrails. Strong Python production skills and a customer-facing mindset are essential.

Qualifications

• 4+ years of hands-on experience in Applied AI, ML, or Data Science.
• Experience building multi-agent orchestration engines and tool-use pipelines.
• Strong Python production skills and systems engineering experience.
• Ability to translate complex AI trade-offs to stakeholders.

Responsibilities

• Architect production-ready agentic frameworks and multi-agent workflows.
• Embed with customers to translate requirements into AI-first solutions.
• Prototype and harden agentic frameworks for enterprise-scale production.
• Develop evaluation guardrails to monitor accuracy, latency, and cost.
• Act as a feedback bridge between customers and AI/ML product teams.

Skills

Applied AI

Machine Learning

Data Science

Multi-agent frameworks

Customer-facing engineering mindset

Education

Ph.D. or Master’s degree in Computer Science, ML, AI

Tools

LangGraph

AutoGen

Pydantic

FastAPI

Asyncio

PyTorch

Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

Position Overview

The Forward Deployed AI (FDE) team operates at the intersection of AI research, production deployment, and customer impact. As an Agentic AI Applied Scientist, you won't sit in an isolated research lab—you will embed directly with high-growth startups, tech innovators, and AI native enterprise partners. You will design, build, and deploy custom autonomous agent architectures running on DigitalOcean’s high-performance AI infrastructure.

What You’ll Do

• Architect Production-Ready Agentic Frameworks: Design and implement sophisticated multi-agent workflows, autonomous reasoning loops, and tool-augmented LLM architectures capable of resolving complex, real-world customer challenges.
• Direct Customer Integration: Embed deeply with tech innovators, CTOs, and AI engineering leads to transform ambiguous business requirements into high-performance, deterministic AI/Agentic workflows.
• Synthesize Research and Deployment: Quickly prototype cutting-edge agentic frameworks—leveraging LangGraph, AutoGen, or custom execution graphs—and harden them for enterprise-scale production and stateful memory retention.
• Drive Reliability and Evaluation: Develop comprehensive reusable Evals frameworks and safety guardrails to monitor reasoning precision, execution security, latency, and cost-efficiency across agentic systems.
• Optimize the DigitalOcean Ecosystem: Serve as a strategic feedback link between our customers and core AI/ML Product teams, converting field deployment friction into foundational platform enhancements.

Travel & Collaboration Requirements

Ability to travel up to 30% for customer engagements, strategic workshops, conferences, and internal collaboration. Ability to consistently overlap with North American business hours, including availability until at least noon Eastern Time, to collaborate effectively with customers, Product, Engineering, and go-to-market teams.

What You’ll Add To DigitalOcean

• 4+ years of hands-on experience in Applied AI, Machine Learning, or Data Science.
• Expertise in Multi-agent Frameworks: Proven experience building multi-agent orchestration engines, tool-use / function-calling pipelines, MCP, structured outputs, dynamic planning, and persistent memory models.
• Production Python & Systems Engineering: Strong skills in writing clean, production-ready Python (Pydantic, FastAPI, Asyncio, PyTorch).
• Customer-Facing Engineering Mindset: High empathy, crisp technical communication, and the ability to articulate complex AI trade-offs to both engineering leads and executive sponsors.
• The DO "Shark" Mentality: You think big, bold, and scrappy. You have a bias for action and a powerful sense of ownership over the customer experience.

Preferred Qualifications

• Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related technical field.
• Applied Science Experience:Experience in deep learning frameworks (like PyTorch or TensorFlow), distributed training tools as well as various agentic AI frameworks. Solid understanding of various types of transformers and state space models.
• Research Experience: Experience in publications, patents and Knowledge of latest research in the field of LLM, VLM, Agentic frameworks.
• Customer Empathy & Technical Leadership: Ability to translate complex business tasks into AI engineering solutions and collaborate directly with client teams (CTOs, AI Leads).
• Agility: Comfortable navigating fast-moving environments and tuning model workloads for diverse accelerator architectures.

Vendor & Strategic Partnership Collaboration

• This job is located in Bengaluru, India

JR: 2026-7940

Why You’ll Like Working for DigitalOcean

• We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
• We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
• We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
• We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.