Company Overview : Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What You'll Do : This position is a people manager role reporting to the Senior Director. - Responsibility

- Lead and develop a high-performing engineering team responsible for designing and delivering modern AI platforms and agent solutions across business workflows, fostering a culture of continuous learning and staying current with state-of-the-art advancements in AI
- Define and contribute to the technical vision and long-term roadmap for foundational AI systems, owning the direction for the execution engine, including model integration, proactive agent behavior, and evaluation infrastructure
- Evaluate and select AI platforms such as agentic frameworks and enterprise search solutions while remaining hands-on in developing AI agents leveraging ADK, MCP, and A2A protocols
- Identify tooling gaps in enterprise AI and agentic architecture — including long-term memory, caching, agent marketplace, and agent registry — and drive solutions to ensure tools and agents perform effectively at scale
- Oversee the full lifecycle — design, development, testing, deployment, and support — of AI software components, including foundation model fine-tuning,



large language model inference, guardrails, model evaluation, agent evaluations, governance, and observability
- Architect a scalable semantic and contextual layer, defining the processes and tooling required to establish a unified system of reference for context across all AI systems and agents
- Establish governance frameworks for agentic systems, including policy-as-code enforcement, human-in-the-loop approval patterns for high-risk actions, audit trails, and data handling controls (PII/PHI redaction, retention, encryption) to meet regulatory and compliance requirements
- Ensure robust security posture across all AI platforms and agents, including identity and access management (RBAC/ABAC), secrets management, threat modeling, and adversarial testing to safeguard enterprise systems and data
- Partner with cross-functional teams of engineers, data scientists, and product managers to deliver AI-powered products that accelerate agent development and deployment
- Introduce state-of-the-art LLM optimization techniques to improve scalability, cost efficiency, latency, and throughput of large-scale production AI systems
- Drive adoption of scalable AI tools across IT and business workflows, ensuring measurable ROI through structured evaluation and deployment practices
- Build dashboards and reporting mechanisms to track AI performance, ROI, and FinOps metrics,



enabling data-driven decision-making across stakeholders

Job Designation :

- Hybrid**: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
- Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What You Bring :

- Basic**
- Bachelor's degree in Computer Science, Engineering, AI, or related field plus 8+ years of experience developing AI/ML algorithms or technologies, or a Master's degree in the same fields plus 6+ years of equivalent experience
- 4+ years of people management experience in a top-tier SaaS or product company, with a proven track record of building and scaling engineering teams
- Experience architecting and deploying enterprise AI agents using GenAI/LLMs and enterprise AI platforms
- Strong technical foundation with the ability to guide architectural decisions in a quick-moving, ambiguous AI product space
- Comfortable with ambiguity, thriving in to drive clarity from complexity
- Deep engineering expertise across software and AI, with the ability to identify and exploit optimization opportunities others miss - Preferred
- Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or Snowflake
- Familiarity with semantic model building and designing enterprise-wide context layers
- Proficiency in Python with hands-on experience in LangChain

📌 Senior Manager, Genai (Bengaluru)
🏢 Docusign
📍 Bengaluru