Jobs at Brillio

Designs secure, scalable enterprise AI architectures spanning data pipelines, AI/ML platforms, model selection, enterprise integrations, governance, privacy, security, and regulatory controls. Establishes foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation, helping move AI solutions from proof of concept to production across regulated industries.

Designs and deploys enterprise-grade agentic AI platforms, autonomous workflows, RAG pipelines, and LLM-powered applications. Responsibilities include defining AI reference architectures, integrating foundation models and enterprise systems, implementing tool calling, memory, orchestration, observability, guardrails, evaluation, and responsible AI practices. The role requires hands-on software engineering, cloud-native deployment, stakeholder advisory, and production modernization experience across AWS, Google Cloud, or Azure.

Leads the architecture, development, testing, deployment, and production support of scalable full-stack applications. Builds React and TypeScript frontends alongside Go, Java, Python, or Node.js backend services, using AWS, containers, CI/CD, databases, observability, and automated testing. Owns end-to-end delivery, contributes to system design and architecture reviews, resolves complex production issues, mentors engineers, and collaborates with product, design, architecture, and business stakeholders.

Build and scale customer-facing full-stack platforms using React, TypeScript, Go, Java, Python, Node.js, and AWS. Develop APIs, microservices, distributed systems, databases, cloud infrastructure, and automated deployments. Participate in architecture and code reviews, testing, security, observability, CI/CD, and production troubleshooting. Collaborate with product and design teams, communicate technical decisions, mentor engineers, and independently deliver complex initiatives across distributed Agile teams.

Lead complex technical programs across platform engineering, coordinating engineering, product, infrastructure, security, and business teams. Manage planning, execution, launches, dependencies, risks, governance, roadmaps, KPIs, and executive reporting. Improve Agile delivery, developer productivity, engineering velocity, and operational scale while translating technical concepts for executive stakeholders.

Leads distributed engineering teams delivering enterprise-scale AWS cloud-native solutions. Owns technology program roadmaps, delivery planning, risk mitigation, engineering standards, KPIs, and operational reliability. Provides technical guidance on AWS architectures, microservices, APIs, serverless systems, DevOps, Infrastructure-as-Code, and modernization initiatives. Advises senior client stakeholders on technology strategy and transformation while managing people, quality, customer satisfaction, and continuous improvement.

Leads the strategy, design, development, and delivery of AI and digital products from ideation through scaling. Defines product vision, use cases, roadmaps, and AI/data strategy while coordinating cross-functional teams and managing resources, timelines, dependencies, and KPIs. Oversees data integration, governance, compliance, responsible AI, security, privacy, model explainability, and platform reliability. Builds senior stakeholder relationships and ensures solutions deliver measurable business outcomes.

Design, develop, and run automated IVR tests for Amazon Connect using Cyara. Create and manage test suites in QTest, integrate API-based simulations, validate performance, report defects, and collaborate with cross-functional teams to embed testing in CI/CD pipelines.

The Director, Client Partner role at Brillio involves driving sales, fostering executive relationships, managing client accounts, and delivering superior customer experiences in the BFSI sector.

The Sales Director will focus on acquiring new clients in the Insurance sector, manage sales strategies, and engage with CxO-level executives to drive business growth.

Work with healthcare stakeholders to discover high-value problems and rapidly design, prototype, and ship end-to-end AI solutions using Claude and modern AI stacks. Build LLM integrations, RAG, agentic workflows, APIs and lightweight front ends; apply responsible AI, HIPAA compliance, monitoring and governance; communicate ROI and technical tradeoffs to executives; iterate prototypes into production-ready, reusable components.