About Signify
Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.
At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.
Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world.
More about the role
Leads the architecture, design, and delivery of enterprise-scale AI, Generative AI, and Machine Learning solutions on AWS and Snowflake. Owns end-to-end solution development, including data ingestion, model/LLM integration, microservices-based architectures, agentic AI workflows, application development, and production deployment.
Drives the development of scalable, secure, and reusable platforms leveraging AWS services, Snowflake data capabilities, containerized deployments, and modern application frameworks such as Streamlit and ReactJS. Collaborates with cross-functional teams and senior stakeholders to translate business requirements into production-ready AI solutions, ensuring high performance, reliability, and governance.
AI / GenAI Solution Architecture
Design and lead end-to-end architecture for AI, ML, and GenAI solutions, including RAG, agent-based workflows, and predictive analytics systems.
AWS-based Platform Development
Architect and implement solutions using AWS services such as Amazon Bedrock, SageMaker, S3, Lambda, Step Functions, EventBridge, API Gateway, ECS/Fargate, ECR, EC2, SQS/SNS, CloudWatch, IAM, and Secrets Manager.
Snowflake Data Integration
Design and manage Snowflake-based data architectures, including integration with AWS S3, external stages, Snowpark Python, curated data layers, and governed data access for AI/GenAI workloads.
Microservices-based Architecture
Lead development of modular, scalable microservices for AI systems, including data services, model inference services, agent orchestration services, and UI/backend APIs.
Streamlit and ReactJS Applications
Drive development and deployment of AI-powered applications (dashboards, copilots, conversational UIs) using Streamlit and ReactJS, hosted on AWS (ECS/Fargate/EC2 with load balancing and API integration).
Containerization & Orchestration
Establish standards for containerization using Docker and deployment using Kubernetes/ECS/Fargate; ensure scalability, portability, and reliability of services.
Multi-Agent / Agentic AI Systems
Design and implement multi-agent architectures including planning, reasoning, summarization, retrieval, and orchestration agents; define workflows, guardrails, and human-in-the-loop mechanisms.
MLOps and GenAIOps
Define and govern CI/CD pipelines, model lifecycle management, prompt/version control, monitoring, drift detection, and production support processes.
Performance, Monitoring & Reliability
Ensure production systems meet SLAs for performance, availability, and accuracy through observability, logging, and proactive optimization.
Security & Governance
Implement secure design patterns including IAM, encryption, API security, data governance, and responsible AI practices.
Technical Leadership & Stakeholder Management
Lead cross-functional teams, review architecture and implementations, and present solutions, trade-offs, and recommendations to senior leadership.
Innovation & Best Practices
Drive adoption of emerging technologies in GenAI, MLOps, and distributed systems; establish reusable frameworks and enterprise standards.
Education & Certifications
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
Preferred certifications: AWS Machine Learning Specialty, AWS Solutions Architect, Kubernetes certifications.5+ years of relevant experience.
AI / ML / GenAI Expertise
Strong experience designing and deploying production-grade ML and GenAI solutions, including LLM-based applications (RAG, agents, prompt engineering, evaluation frameworks).
AWS Expertise
Hands-on experience with AWS services including Bedrock, SageMaker, S3, Lambda, Step Functions, EventBridge, API Gateway, ECS/Fargate, ECR, EC2, SQS/SNS, CloudWatch, IAM, and security services; ability to design scalable and cost-efficient architectures.
Snowflake Expertise
Strong experience with Snowflake including SQL, Snowpark Python, external stages with S3, storage integrations, tasks, stored procedures, and performance optimization; exposure to Snowflake Cortex capabilities is a plus.
Microservices & API Development
Experience building scalable backend systems using REST APIs (FastAPI/Flask) and designing service-oriented architectures.
Application Development
Experience building AI-enabled applications using Streamlit and/or ReactJS and deploying them on AWS infrastructure.
Containerization & Orchestration
Strong knowledge of Docker and container-based deployments; working experience with Kubernetes concepts or AWS ECS/Fargate.
MLOps / DevOps
Experience in CI/CD, model deployment pipelines, monitoring, versioning, and production support for ML/GenAI systems.
Data Engineering & Distributed Systems
Experience with large-scale data processing (Spark, Hadoop, NoSQL) and building scalable data pipelines.
Programming Skills
Strong proficiency in Python and SQL; familiarity with Java/Scala and open-source ML frameworks.
Leadership & Impact
Proven ability to lead complex AI initiatives, mentor teams, influence stakeholders, and deliver scalable, business-impacting solutions.
Everything we’ll do for you
You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.
Come join us, and together we can light up the future.
Signify (Euronext: LIGHT Signify is the world leader in lighting for professionals and consumers. We unlock the extraordinary potential of light for brighter lives and a better world. Our global portfolio of brands deliver advanced products, connected systems and services, designed to enhance well-being and performance, to elevate experiences and advance sustainability. In 2024, we had sales of EUR 6.1 billion, approximately 29,000 employees and a presence in over 70 countries. We are featured in the Dow Jones Sustainability World Index and hold the EcoVadis Platinum rating. News and updates from Signify can be found in the Newsroom, on LinkedIn and Instagram. Information for investors is located on the Investor Relations page.
