Sr. AI Engineer - 11096

Coupa Software

3-5 Years

Indi, Pune, India

Early Applicant

Posted 13 hours ago
Be among the first 10 applicants

Job Description

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.

Why join Coupa

ðŸ¹ Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.

ðŸ¹ Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.

ðŸ¹ Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

Learn more on blog and hear from our employees about their experiences working at Coupa.

The Impact of a GenAI Architect at Coupa:

We are seeking a hands-on Agentic AI Developer / AI Engineer to design, build, and deploy generative AI solutions leveraging Google Cloud's AI ecosystem. This role is a core part of our AI Delivery Build team, responsible for translating business challenges into production-ready AI agents and solutions using Google ADK (Agent Developer Kit), Vertex AI, and related Google Cloud services that create measurable business value.

This position combines deep technical expertise with practical execution on Google's AI platform, ensuring that our agentic AI solutions are well-designed, robustly built, and successfully deployed. The Agentic AI Developer will partner closely with business stakeholders, QA Specialists, and Cloud Engineers to build, test, and scale responsible AI solutions from concept to production within the Google Cloud environment.

In a forward deployed role, You will embed directly with the portfolio teams whose problems you are solving, work in their tools and their meetings, and deliver agentic and automation solutions in the flow of work: inside the systems people already use every day, not as one more

What You'll Do:

Design & Build with Google ADK: Design, develop, test, and deploy autonomous and semi-autonomous AI agents using Google ADK, Vertex AI Agent Builder, and agentic patterns to address key business challenges.
Vertex AI Implementation: Leverage Vertex AI capabilities including model training, fine-tuning, vector search, and orchestration to build production-grade AI solutions that integrate seamlessly with enterprise systems.
End-to-End Development: Own the end-to-end technical lifecycle of AI projects on Google Cloud Platform, from initial proof-of-concept and prototyping through to production deployment using Vertex AI Pipelines, monitoring with Vertex AI Model Monitoring, and continuous iteration.
Google Cloud Integration: Build integrations between AI agents and Google Cloud services including Gemini Enterprise, Cloud Functions, Cloud Run, Pub/Sub, and enterprise data sources to enable intelligent automation across the organization.
Cross-Functional Collaboration: Partner with business stakeholders to understand requirements and collaborate closely with QA Specialists and Cloud Engineers to ensure solutions are reliable, scalable, and seamlessly integrated within GCP infrastructure.
Responsible AI Implementation: Implement, test, and monitor safeguards for AI agents using Vertex AI's responsible AI tools to mitigate risks, including bias detection, model explainability, compliance monitoring, and operational limits. Ensure solutions are fair, explainable, and robust.
Agentic Architecture with ADK: Contribute to the architecture and selection of frameworks, tools, and orchestration logic using Google ADK and Vertex AI to build, manage, and scale multi-agent systems effectively.
Prototype Fast, in the Open: Ship a working prototype in days, not quarters. Put it in a real user's hands early, watch them use it, and iterate on what you observe instead of what was requested.

Build MCP Servers and Tool Integrations: Design, build, and maintain Model Context Protocol (MCP) servers, connectors, and tool layers that give Claude, Gemini, and other models safe, governed, audited access to Coupa business systems and data.

Stay Multi-Model and Pragmatic: Choose the right model, framework, and pattern for each job across Claude, Gemini, and open models. Make cost, latency, and accuracy tradeoffs deliberately instead of defaulting to one vendor.

Know When It Isn't an Agent: Recognize when workflow automation, a scheduled job, a cleaner integration, or simply deleting a step is the faster, cheaper, more durable fix. Reach for the smallest tool that solves the problem.

Instrument and Prove Impact: Measure every deployment. Track usage, cycle-time reduction, hours returned, and error and escalation rates, then report results to stakeholders and leadership in business terms, not model metrics.

Carry Trust and Governance into the Field: Apply security, privacy, data-handling, and responsible AI guardrails at the point of deployment. Engage Security, Legal, and Data Governance early so solutions clear review the first time.

Enable, Document, and Hand Off: Leave behind runbooks, monitoring, and trained business owners so what you build survives without you. Convert one-off wins into reusable patterns, templates, and internal skills the whole AI Delivery team can redeploy.

Iterate & Improve: Monitor agent performance in production using Vertex AI monitoring tools, gather feedback, and iteratively improve models, prompts, grounding strategies, and agent logic to drive successful adoption and business impact.

What You Will Bring to Coupa:

Proven experience (3-5+ years) in software engineering, data science, or AI/ML solution delivery with demonstrated Google Cloud Platform expertise.
Hands-on experience with Google Vertex AI, including model deployment, endpoint management, and AI agent development.
Strong knowledge of AI/ML fundamentals, agentic AI patterns (e.g., ReAct, planning, tool use, function calling), and experience with Google ADK or Vertex AI Agent Builder.
Proficiency in Python and Google Cloud AI/ML libraries including Google ADK, Vertex AI SDK, and common data science libraries (e.g., pandas, scikit-learn, TensorFlow/JAX).
Experience with Google Cloud Platform services (Vertex AI, BigQuery, Cloud Functions, Cloud Run, Pub/Sub) and MLOps principles including Vertex AI Pipelines and CI/CD.
Demonstrated success in building and deploying AI/ML models and solutions into production on cloud platforms.
Demonstrated experience in a forward deployed role where you owned the business outcome, not just the ticket.
Comfort operating in ambiguity. You can walk into an undefined business problem, scope it with the people who own it, and ship something useful within weeks.
Experience integrating AI or automation into enterprise SaaS platforms (ERP, CRM, HRIS, procurement, ITSM) through REST APIs, webhooks, event streams, or middleware.
Strong written communication. You can explain a cost and accuracy tradeoff to a CFO and a stack trace to an engineer on the same afternoon.
Working knowledge of at least one non-Google model provider and its tooling (e.g., Anthropic Claude, OpenAI), including function calling and tool use across providers.
Proven ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.

Preferred
Experience with Vertex AI features including vector search (Matching Engine), model monitoring, custom training, and model tuning.
Hands-on experience with Gemini API, embeddings, and retrieval-augmented generation (RAG) patterns on Google Cloud.
Experience with containerization (Cloud Run, GKE) and serverless architectures for scaling AI applications.
Familiarity with Google Cloud security best practices, IAM, and data governance frameworks.
Hands-on experience with responsible AI practices using Vertex AI Explainable AI, Model Monitoring, and bias detection tools.
Experience with LLM frameworks (ie Crew, ADK, LangChain, LangGraph) integrated with Google Cloud services.
Hands-on experience with Anthropic Claude and the Model Context Protocol (MCP), including building custom MCP servers, connectors, and agent skills.
Familiarity with the enterprise business systems landscape: Coupa, Salesforce, Dayforce, NetSuite, Smartsheet, Snowflake and Slack.

At Coupa, we are 100% committed to creating and nurturing an environment that supports your physical, mental, and community well-being. We offer a comprehensive suite of benefits designed to help you and your family thrive:

Global Well-Being Perks (For All Employees Globally)

Global Wellness Days:Enjoy two designated, company-wide paid wellness daysoffeach year (typically the first Friday in March and the last Friday in September) so the entire global team can unplug, step away, and recharge together.
BirthdayTime-Off:Celebrate your day!Coupa provides a paid dayoffon yourbirthdayor another day of your choice within yourbirthdaymonth.
VolunteerTimeOff(VTO):Giving back is in our DNA.We offer 40 hours of paid VTO annually to support the community initiatives and volunteer programs you are passionate about.
Employee Assistance Program (EAP):Access free, confidential, 24/7/365 counseling and resources for emotional support, work-life solutions, financial advice, legal guidance, and support for new parents.
Business Travel Protection:Travel with peace of mind.Zurich Travel Assist provides medical, safety, pre-trip planning, and emergency support during any business travel.
Referral Bonus Program:Share the Coupa experience!Receive generous monetary referral bonuses when you successfully refer talented friends or acquaintances who are hired into open roles.

Please note: In addition to these global well-being perks, Coupa offers highly competitive, location-specific benefits packages (which include comprehensive medical/dental insurance, retirement/pension plans, and life or accident protection) tailored to your primary work location. Your recruiter will walk you through the specific regional benefits package for this role during the interview process.

Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.

Please be advised that inquiries or resumes from recruiters will not be accepted.

By submitting your application, you acknowledge that you have read and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.