Vice President level Senior AI Engineer role focused on designing and deploying Generative AI and Agentic AI solutions for the banking sector.
Responsibilities
Design, implement, test, and deploy scalable generative AI applications and agentic workflows for critical banking use cases.
Build end-to-end applications integrating front-end interfaces, backend services, and state-of-the-art LLM tools, APIs, and Model Context Protocol (MCP) integrations.
Champion an agile, MVP-first mindset to rapidly develop Proof of Concepts (POCs), run A/B experiments, iterate based on feedback, and accelerate time-to-value.
Implement evaluation metrics, guardrails, automated testing, and telemetry to benchmark agent behavior, response accuracy, and operational performance.
Collaborate closely with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams; uphold best practices in code quality, automated testing, CI/CD, and peer reviews.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field
Nice to have: Experience in banking, financial services, or other highly regulated enterprise environments
Lead the design, development, and deployment of Agentic AI technologies across Carrier Engineering.
Locations (2)
Indianapolis, Indiana, United States
Kennesaw, Georgia, United States
Compensation
The annual salary for this position is between $96,000.00 - $192,000.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed.
Responsibilities
Lead the design, development, and deployment of AI agents and agentic workflows that accelerate engineering processes and productivity.
Define and execute the Agentic AI strategy, roadmap, standards, and best practices across Carrier Engineering.
Architect AI-powered solutions using Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and workflow orchestration frameworks.
Collaborate with software, systems, electrical, mechanical, and test engineering teams to identify and deliver high-value AI solutions.
We are seeking a Data Scientist / Senior Data Scientist with 5–7 years of experience in data science, machine learning, advanced analytics, and AI solution development, with a strong emphasis on Generative AI (GenAI) and AI application development.
Compensation
We offer competitive compensation and comprehensive benefits and programs.
Responsibilities
Analyze large, complex datasets to uncover trends, patterns, anomalies, and actionable business insights.
Design, develop, and deploy AI and GenAI applications that address business needs using machine learning, large language models, and intelligent workflow orchestration.
Build and optimize predictive, statistical, and time series models for business and operational use cases.
Develop robust data pipelines, ETL workflows, and feature engineering processes using SQL and Python to support AI/ML applications.
Lead Python-based application development for automation, data transformation, model integration, API development, and AI-powered workflows.
Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, AI, or a related field; master’s degree or advanced certification preferred.
Seeking a highly skilled Associate Tech Lead specialized in AI/ML to guide the design, development, and deployment of advanced analytical and machine learning solutions.
Responsibilities
Execute and own end-to-end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring.
Provide inputs for the architectural direction of machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards.
Lead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions.
Collaborate with product, and domain teams to translate business requirements into well-designed ML architectures and solution roadmaps.
Oversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement.
Requirements
Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related technical field
Architect and implement RAG pipelines, agentic AI systems, and LLM-driven applications for enterprise use cases.
Responsibilities
Architect and implement RAG pipelines, agentic AI systems, and LLM-driven applications for enterprise use cases.
Design and integrate prompt engineering, context management, and knowledge-grounding frameworks to optimize LLM performance.
Collaborate with data, ML, and software engineering teams to build production-grade GenAI microservices and APIs.
Evaluate and integrate open-source and proprietary LLMs (e.g., OpenAI, Anthropic, Mistral, Llama, Gemini).
Design data pipelines for unstructured/structured content ingestion, indexing, and vector retrieval using Milvus, PostgreSQL (pgvector), or similar technologies.
Requirements
Bachelor’s/Master’s degree in Computer Science, AI, Data Engineering, or related field
Design the foundation that makes intelligent systems scale for our enterprise.
Compensation
Base Pay Range: $200,000 to $260,000 annually
An annual employee bonus program
Responsibilities
Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake.
Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution.
Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry.
Build and maintain scalable cloud environments for model training, evaluation, and inference.
Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs.
Responsible for designing, developing, and implementing AI-based solutions, including intelligent agents to automate processes and optimize operational workflows to drive business efficiency and improve client experience.
Responsibilities
Design and develop autonomous AI agents and multi-agent systems to automate complex business processes.
Create RAG (Retrieval-Augmented Generation) architectures integrating vector databases, business knowledge, and external APIs.
Implement client management agents connected via MCP to critical applications (CRM, media platforms, analytics, etc.).
Automate operational workflows in Google Marketing Platform (GMP), advertising platforms, and reporting tools.
Develop generative AI solutions to improve communications, insight generation, and repetitive tasks.
Requirements
University degree in Engineering
University degree in Data Science
University degree in Computer Science or similar
Master/specialization in Data Science, AI or Generative AI (valued)
Nice to have: Experience in media agency, digital marketing, or advertising environments
Leading the design and delivery of next-generation scalable services, driving transition into AI-native engineering using Python, React, and GCP.
Compensation
The starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below $145,000.00 - $235,500.00/yr
Responsibilities
Drive architectural vision and deployment of high-quality, scalable software assets using Python and React
Architect and govern advanced agentic systems using Vertex AI Agent SDK, LangChain, or LangGraph
Establish enterprise-wide AI Evaluation (Evals) frameworks and automated benchmarking pipelines
Define organizational strategy and architecture for data retrieval pipelines (vector embeddings, semantic search)
Establish enterprise-wide prompt engineering standards and LLM security frameworks
Requirements
Bachelor's degree in Computer Science or a related field
Senior Data ScientistNewTrane Technologies · Bangalore, India