Design, develop, and maintain scalable backend applications using Python, Node.js, FastAPI, and Fastify, focusing on RESTful APIs, microservices, and large-scale data processing including AI/LLM integrations.
Responsibilities
Design, develop, and maintain scalable backend applications using Python, Node.js, FastAPI, and Fastify
Develop, integrate, and maintain RESTful APIs and microservices
Design and optimize database schemas, queries, and indexing strategies using MongoDB, Elasticsearch, and MySQL
Build and maintain ETL pipelines for large-scale data processing, transformation, cleaning, and enrichment
Implement data normalization, deduplication, and data enrichment workflows
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
AI Architect responsible for designing, developing, and deploying AI-powered systems at scale, leading AI strategy and integration across enterprise applications.
Responsibilities
Design end-to-end AI solutions across data, model, application, and infrastructure layers
Translate business problems into AI-driven technical architectures
Define AI platform architecture, model deployment strategies, and integration patterns
Evaluate and select appropriate AI/ML frameworks, tools, and technologies
Provide architecture guidance for AI initiatives across the organization
Requirements
Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: enterprise AI platform implementation
Nice to have: vector databases (Pinecone, FAISS, Weaviate)
Nice to have: AI observability and monitoring tools
We are seeking an AI Architect with 6–9 years of overall IT experience, including 3–4 years of hands-on experience in Artificial Intelligence, Machine Learning, or Generative AI solutions. The ideal candidate will have a strong full stack engineering background combined with expertise in designing, developing, and deploying AI-powered systems at scale.
Responsibilities
Design end-to-end AI solutions across data, model, application, and infrastructure layers
Translate business problems into AI-driven technical architectures
Define AI platform architecture, model deployment strategies, and integration patterns
Design and implement machine learning and deep learning solutions where required
Architect and develop Generative AI applications including LLM integrations, Retrieval-Augmented Generation (RAG), prompt engineering frameworks, and AI agents
Requirements
Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: enterprise AI platform implementation
Nice to have: vector databases
Nice to have: AI observability and monitoring tools
AI Architect responsible for designing, developing, and deploying AI-powered systems at scale, leading AI strategy and integration across enterprise applications.
Responsibilities
Design end-to-end AI solutions across data, model, application, and infrastructure layers
Translate business problems into AI-driven technical architectures
Define AI platform architecture, model deployment strategies, and integration patterns
Evaluate and select appropriate AI/ML frameworks, tools, and technologies
Provide architecture guidance for AI initiatives across the organization
Requirements
Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: Enterprise AI platform implementation
Nice to have: Vector databases (Pinecone, FAISS, Weaviate)
Nice to have: AI observability and monitoring tools
We are seeking an AI Architect with 6–9 years of overall IT experience, including 3–4 years of hands-on experience in Artificial Intelligence, Machine Learning, or Generative AI solutions. The ideal candidate will have a strong full stack engineering background combined with expertise in designing, developing, and deploying AI-powered systems at scale.
Responsibilities
Design end-to-end AI solutions across data, model, application, and infrastructure layers
Translate business problems into AI-driven technical architectures
Define AI platform architecture, model deployment strategies, and integration patterns
Evaluate and select appropriate AI/ML frameworks, tools, and technologies
Provide architecture guidance for AI initiatives across the organization
Requirements
Bachelor’s Degree in Engineering (Computer Science or Information Technology)
Nice to have: Enterprise AI platform implementation
Internship role as an AI Developer working on AI-powered components for SAP's Joule Studio platform.
Responsibilities
Support senior engineers in building and testing AI-powered components for the Joule agentic orchestration runtime, including LLM integrations, RAG pipelines, and agent workflow reasoning
Prototype and experiment with new AI concepts — prompt strategies, tool-use patterns, multi-agent coordination — and document findings
Write clean, tested code in Java and contribute to shared codebases following SAP engineering standards
Assist with integration of AI capabilities into SAP landscapes (SAP AI Core, GenAI Hub, SAP Joule)
Participate in code reviews, sprint planning, retrospectives, and design discussions
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, or a closely related field
Oversee programmatic media planning and buying, ensuring seamless execution of campaigns across portfolio brands and accounts.
Compensation
The annual base salary for this position ranges from $82,700.00 to $137,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 10.0% of the base salary.
Responsibilities
Own key steps of the programmatic activation process
Collaborate with Programmatic Managers and Senior Managers on project management
Architect, build, and optimize resilient services and automation tools that accelerate MDR and IR service delivery.
Compensation
The annual salary range for this role, depending on location, is:
United States: $164,600.00 - 222,600.00 USD Annual
Responsibilities
Architect, design, maintain, and monitor highly available, scalable services and internal tools utilizing an AI-first software development lifecycle.
Partner with stakeholders and program management teams to capture operational pain points, translate requirements into technical architecture, and scope delivery milestones.
Collaborate cross-functionally with broader product and platform engineering teams to integrate shared platform services and enhance service delivery efficiency.
Drive technical excellence and robust engineering standards across microservices, cloud infrastructure, and modern deployment pipelines.
Champion pragmatic automated testing, monitoring, and observability strategies to ensure uptime, system health, and rapid incident resolution across production workloads.
Build and deploy AI-enabled solutions across investment, finance, compliance and operations teams.
Compensation
Compensation range: CAD$90,000 to CAD$130,000
Responsibilities
Partner with business units across investment, finance, compliance and operations to understand operational problems, scope technical solutions, and rapidly prototype and iterate based on real-world feedback.
Design and build data pipelines that move, transform, and prepare data from internal systems for use in AI and analytics workflows.
Own end-to-end integrations between internal platforms and third-party APIs, including authentication, error handling, and ongoing maintenance.
Contribute to foundational infrastructure decisions – data storage, service architecture, deployment patterns – as the firm's data and AI platform matures.
Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale.
Requirements
Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience.
Nice to have: experience in financial services or alternative asset management
Nice to have: familiarity with structured financial data and compliance constraints.
AI Senior Engineer- AI Native EngineeringNewMercedes-Benz Vans · Bengaluru, India
AI Senior Engineer- AI Native EngineeringNewJob Search · Bengaluru, India