PS|Software Development Manager|SDE|Delivery|Engineering|SDE|Engineering Lead

Join a team that’s transforming enterprise operations through AI-driven intelligence and Gen AI power automation. We manage complex application and infrastructure environments across multiple customer domains. Powered by our AI platform, we enable context-aware automation, RCA-based remediation, Agentic AI run & conversational agents - driving autonomous, self-healing, and more efficient IT ecosystems.

As a Software Developmenrt Manger (Sr. Manager) in the Platform Engineering team, you will:

Build and evolve the AI Platform
Design and enhance a GenAI-powered platform that integrates with enterprise tools to deliver context-aware automation, predictive intelligence, and RCA-based remediation across complex hybrid environments.

Drive Intelligent Operations and Automation
Develop and deploy run agents, self-healing workflows, and AI-led decision systems to improve resiliency, performance, and operational efficiency while reducing manual effort and downtime.

Enable Smart Insights and Experience through AI
Leverage Conversational AI and predictive models to provide real-time insights, guided actions, and improved user experiences, enabling proactive and data-driven IT management.

Key Responsibilities

Architect and Orchestrate the Agentic AI Platform:

1) Design, develop, and evolve an Agentic AI-powered platform that autonomously senses, reasons, and acts across hybrid applications and infrastructure landscapes.

2) Build intelligent orchestration layers that integrate context-aware automation, RCA-driven remediation, and cognitive decisioning into enterprise toolchains and workflows.

Enable Autonomous and Resilient Operations through AI Agents

1) Deploy and manage a portfolio of AI agents to execute self-healing, proactive maintenance, and adaptive optimization tasks.

2) Drive resiliency, performance, and reliability across legacy and modern hybrid environments through agent-led operations and dynamic workflow orchestration.

Establish Unified Observability and Cognitive Insights

1) Integrate with unified observability tools that provides end-to-end visibility across infrastructure, applications, and business layers.

2) Leverage AI/ML and cognitive analytics to deliver predictive intelligence, detect anomalies, and enable autonomous remediation and experience optimization.

Enhance Human-AI Collaboration via Conversational and Predictive Intelligence

1) Build Conversational AI interfaces that enable intuitive interaction, guided decision support, and cognitive assistance for operations teams.

2) Use predictive and generative models to anticipate issues, recommend actions, and enhance the user and operator experience.

  BE/    Qualification: 

                       BS/MS in Computer Science, Math, Physics, Engineering, Statistics, or                                    another quantitative or computational field. Advanced degrees preferred.

• Generative AI Expertise: Hands on experience in leveraging, fine-tuning and customizing Large Language Models (LLMs, VLLMs, or Vision models) for production-grade applications.
• Distributed Systems & Scalability: Hands-on experience with distributed training and inference frameworks such as Ray, vLLM, OpenLLM, BentoML, and strong understanding of parallelization, sharding, and GPU/TPU utilization for large-scale workloads.
• AI Application Development: Proficiency in building modular, maintainable Generative AI applications using frameworks like LangChain, LlamaIndex, and integrating them into enterprise ecosystems.
• Model Deployment & Optimization: Experience in deploying, hosting, and optimizing large-scale generative models for performance, latency, and cost efficiency.
• Vector Databases: Experience with vector databases such as Milvus, FAISS, or ChromaDB for efficient retrieval-augmented generation (RAG) systems.
• AI Agent Frameworks: Experience developing intelligent agents using LangGraph, CrewAI, or Autogen, with strong focus on modularity, observability, and lifecycle management.
• Prompt Engineering & Evaluation: Expertise in designing, testing, and iteratively improving prompts for reliability and robustness across diverse contexts.
• Software Architecture & Design:
• Strong understanding of system design principles, software architecture patterns (microservices, event-driven, domain-driven design), and API design (REST, GraphQL, gRPC).
• Experience architecting scalable, resilient, and secure AI platforms that integrate with existing enterprise systems.
• Knowledge of data pipelines, feature stores, message queues, and caching strategies to support AI workflows at scale.
• DevOps & ML-Ops:
• Proficiency in containerization (Docker, ECS) and orchestration using Kubernetes or OpenShift for reliable deployments.
• Experience implementing CI/CD pipelines, monitoring, and model observability using tools like ML-Flow, KubeFlow, or custom workflows
• Cloud Platforms: Experience deploying and scaling workloads on Azure, AWS, or GCP, including usage of managed AI/ML services.
• Security, Compliance & Reliability: Familiarity with data governance, model safety, and observability best practices for enterprise AI systems.
• Open Source Ecosystem: Hands-on experience with open-source LLMs and tools (e.g., Hugging Face, OpenAI-compatible APIs) and contribution to or integration with open-source communities.
• Continuous Learning: Keeps abreast of the latest advancements in AI architecture, frameworks, and deployment methodologies.

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.