Senior Staff Software Engineer

Epsilon; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Epsilon seeks a senior AI Platform Architect in Bengaluru to lead enterprise-scale AI platform initiatives, delivering reusable frameworks, governance, and cost-efficient solutions across product, security, and data teams.

The role focuses on building scalable AI platforms, guiding architecture decisions, and mentoring engineers to ensure high quality, reliable AI systems that achieve measurable business outcomes.

Qualifications

• 12-18+ years in enterprise web applications building at scale.
• Hands-on experience building Generative AI solutions and ML pipelines.
• Experience with AI platform capabilities such as vector databases, feature stores, model serving, observability, and cost optimization.
• Proven ability to influence senior engineers, architects, and product leaders through clear technical communication.

Responsibilities

• Understand end-user requirements and translate to architecture and design.
• Deliver platforms enabling secure AI usage with governance and cost controls.
• Lead architecture for reusable AI platforms, agent frameworks, RAG pipelines, and integrations.
• Define reference architectures, guardrails, and delivery patterns for reliability and security.
• Mentor engineers and drive technical execution across teams.

Skills

Generative AI

ML solutions

MLOps

Python

LLM patterns

RAG

Prompt orchestration

Multi-agent orchestration

Observability

Cost optimization

Stakeholder influence

Tools

Vector databases

Feature stores

Model serving

Databricks

AWS Bedrock

Azure OpenAI

Azure AI Foundry

Kubernetes

APIs

Job description

• You have a passion for AI and platform engineering.
• You have a deep understanding of AI, not just applied conversational AI but the mechanics of a working AI system in production.
• You can operate as a senior technical authority who connects enterprise AI strategy, platform architecture, governance, and delivery execution.
• You are comfortable solving ambiguous, cross-business-unit problems where reusable AI platforms, assets, and standards must scale beyond a single use case.
• You have successfully delivered AI agents with measurable business benefit.

Overview

Why we are looking for you:

• You have a passion for AI and platform engineering.
• You have a deep understanding of AI, not just applied conversational AI but the mechanics of a working AI system in production.
• You can operate as a senior technical authority who connects enterprise AI strategy, platform architecture, governance, and delivery execution.
• You are comfortable solving ambiguous, cross-business-unit problems where reusable AI platforms, assets, and standards must scale beyond a single use case.
• You have successfully delivered AI agents with measurable business benefit.

What You Will Enjoy In This Role

• A senior individual contributor role with high visibility across product, engineering, data, security, finance, and business partners.
• Exposure to a range of top-notch enterprise scale AI solutions
• Access to a global user base and all Epsilon internal and external solutions
• Ownership for building platforms and solutions of strategic importance for Epsilon.
• Working with top AI talent that has delivered applied AI solutions at scale.
• Opportunity to shape enterprise-wide AI architecture patterns, reusable accelerators, governance controls, and platform standards adopted across teams.

Responsibilities

• Understand end-user requirements and expectations from AI solutions; translate to effective architecture and design.
• Deliver platforms that enable effective and secure use of AI, specifically through improved Cost management, Governance and Discoverability.
• Build interoperability across hyper-scalers and agent development tools to standardize AI spend management and governance.
• Lead architecture and technical design for reusable AI platforms, agent frameworks, RAG pipelines, evaluators, orchestration services, APIs, and integrations with enterprise systems.
• Define reference architectures, engineering standards, guardrails, and delivery patterns that improve reliability, observability, security, scalability, and cost efficiency of AI solutions.
• Guide build-versus-buy decisions, model and platform selection, and architectural trade-offs across foundation models, cloud AI services, open-source frameworks, and enterprise tooling.
• Establish evaluation, testing, monitoring, feedback-loop, and runbook practices for production AI systems, including hallucination risk, quality benchmarks, latency, token usage, and operational health.
• Partner with business units to assess AI opportunities, validate feasibility, define measurable success criteria, and convert promising use cases into scalable platform capabilities.
• Mentor engineers and influence technical execution across teams through design reviews, code quality standards, reusable components, documentation, and hands‑on engineering guidance.
• Work closely with AI engineers in team to ensure high quality, reliable solutions and platforms.

Qualifications

• 12-18 years of experience building enterprise scale web applications.
• Grounded, hands‑on experience building Generative AI solutions, ML solutions, MLOps pipeline, and building agentic AI workflows, preferably in Microsoft tech stack.
• Strong hands‑on engineering depth in Python and modern backend architectures, with the ability to design scalable APIs, services, integrations, and reusable libraries for AI applications.
• Deep understanding of LLM application patterns including RAG, prompt orchestration, tool/function calling, structured outputs, agentic workflows, multi‑agent orchestration, and human‑in‑the‑loop controls.
• Experience with AI platform capabilities such as vector databases, feature stores, model serving, evaluation frameworks, observability, tracing, usage metering, and cost optimization.
• Working knowledge of cloud AI and data platforms such as AWS Bedrock, Azure OpenAI, Azure AI Foundry, Databricks, containerized services, serverless patterns, and cloud‑native deployment approaches.
• Ability to embed responsible AI practices including security, privacy, RBAC, model governance, auditability, compliance controls, restricted‑topic handling, and production‑readiness reviews.
• Proven ability to influence senior engineers, architects, product leaders, and business stakeholders through clear technical communication, decision frameworks, and outcome‑driven architecture leadership.

Additional Information

Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real‑time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry‑leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

• People centricity: We focus on employee well‑being in an environment where colleagues truly care about each other.
• Collaboration: We work together, support one another, and collectively achieve goals.
• Growth: There are endless opportunities for growth through learning, development and career advancement.
• Innovation: We drive progress through cutting‑edge solutions and forward‑thinking approaches.
• Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

• Act with integrity
• Work together to win together
• Innovate with purpose
• Respect all voices
• Empower with accountability

Epsilon is an Equal Opportunity Employer

Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.