Vice President - Technology (Data & AI Infrastructure Engineer) Job at Renner Brown (New York)

Senior AI Engineer, Banking Technology – Vice President

Citi’s Banking Technology organization is seeking a highly hands-on Senior AI En...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6–10 years of progressive software engineering experience with a strong hands‑on coding background
2+ years focused on AI software development, LLM‑based solutions, agentic systems, and/or machine learning
Demonstrated experience delivering enterprise‑scale AI capabilities into production
Strong proficiency in Python and/or Java (Spring Boot)
working knowledge of JavaScript/TypeScript (Angular, Node.js). Full‑stack experience is a plus
Solid understanding of core AI concepts such as knowledge representation, planning, and multi‑agent systems
Hands‑on experience with LLMs, RAG, prompt engineering, MCPs, and agent frameworks (e.g., Google ADK)
Practical experience with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas)
Familiarity with AI coding tools such as Devin, GitHub Copilot, and Antigravity
Strong grounding in modern engineering practices including Git, CI/CD, testing, code reviews, agile delivery, application resiliency, and security

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Design, implement, and deploy scalable agentic AI frameworks and generative AI solutions for critical business use cases, ensuring robustness, performance, security, and reliability
Develop and integrate agentic AI systems leveraging multiple model providers and platforms (e.g., OpenAI, Anthropic, Google APIs)

Fulltime

Vice President - Technology (AI Security & Risk Manager)

The Technology department at our client is responsible for creating and continuo...

Location

United States , New York

Salary:

150000.00 - 175000.00 USD / Year

Renner Brown

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Security, Data Science, or a related field
advanced degree a plus
At least 7–10 years of experience in information security, technology risk, or a related field, with a minimum of 3 years focused on AI systems, machine learning security, or AI governance
Deep understanding of the AI and LLM landscape, including foundation model architecture, agentic systems, RAG pipelines, and the risk implications of each
Hands-on experience evaluating AI platforms and products, including the ability to assess vendor claims about model behavior, data handling, and security controls with appropriate skepticism
Familiarity with AI risk frameworks and emerging standards, including NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, and ISO/IEC 42001
Experience with vendor risk management in a regulated financial services environment, including contract negotiation support and third-party security assessments
Knowledge of relevant regulatory frameworks including DORA, SOX, SEC cybersecurity disclosure rules, and GDPR/CCPA as they apply to AI data flows
Strong technical skills sufficient to evaluate AI system architecture, API security, data pipeline design, and access control models without reliance solely on vendor documentation
Excellent communication skills, with the ability to translate highly technical AI risk concepts into clear, decision-ready language for senior leadership, Legal, and Compliance

Job Responsibility

Own and maintain the firm's AI risk framework, covering model risk, data privacy, adversarial threats, third-party AI, and regulatory compliance
Develop and enforce AI usage policies in collaboration with Legal and Compliance, including acceptable use, data classification requirements, and prompt handling standards
Maintain an inventory of AI tools deployed firm-wide — both sanctioned and shadow — and assess associated risk profiles
Provide regular AI risk reporting to the Head of Technology Risk and senior leadership, including emerging threat trends, vendor posture changes, and control gaps
Monitor the evolving regulatory environment for AI (EU AI Act, SEC guidance, DORA, NY DFS) and advise on compliance obligations and required controls
Lead security and risk assessments of vendors introducing AI capabilities into existing or new platforms, including evaluating model transparency, data handling practices, and auditability
Develop and maintain a structured AI vendor evaluation framework, incorporating criteria for model governance, output reliability, data residency, and incident response obligations
Partner with Procurement and Legal to ensure AI-specific provisions are reflected in vendor contracts, including data usage restrictions, model change notifications, and liability terms
Maintain a tiered risk register of third-party AI integrations, with ongoing monitoring for material changes to vendor AI functionality, architecture, or ownership
Engage directly with vendor security and product teams to assess AI-related controls and drive remediation of identified gaps

Fulltime

Vice President - Technology (Platform Engineer)

Our client's technology team is responsible for creating and continuously improv...

Location

United States , New York

Salary:

175000.00 - 215000.00 USD / Year

Renner Brown

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Computer Engineering, or related field
8+ years in infrastructure engineering, cloud platform engineering, or data engineering
Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID
Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting
PowerShell for infrastructure tasks
Infrastructure-as-Code: Terraform and/or Bicep
container orchestration with Docker and Kubernetes
Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability
RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns
Familiarity with LLM application frameworks such as LangChain or Semantic Kernel

Job Responsibility

AI Platform & Developer Infrastructure: Design, build, and operate the firm's AI platform, enabling developers to build and deploy Python-based AI applications
Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls
Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring
Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm
Data Infrastructure & Pipelines: Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs
Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications
Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB
Cloud Infrastructure & DevOps: Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep)
Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions
Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services

Fulltime

Principal Data Platform Engineer Vice President

We are seeking an exceptionally skilled and motivated Principal Data Platform En...

Location

United States , Irving; Jacksonville

Salary:

125760.00 - 188640.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Apps Development or systems analysis role with extensive Python and/or big data expertise
Python/Pyspark Mastery
Big Data Technologies & Platforms: Extensive experience (8+ years) architecting, designing, implementing, and managing solutions within distributed data processing platforms, specifically with the Hadoop ecosystem (preferably Cloudera distributions). Proficient in leveraging key big data components such as distributed file systems (e.g., HDFS), data warehousing solutions (e.g., Hive), data transformation frameworks (e.g., Pig), and data ingestion tools (e.g., Sqoop), alongside hands-on experience with NoSQL databases (preferably MongoDB)
ETL Architecture & Development: Proven ability to architect, design, and implement highly scalable data pipelines. Extensive experience leveraging industry-standard ETL tools and frameworks for efficient data extraction, transformation, and loading into various relational databases and data warehouses, coupled with a strategic vision and planning experience for migrating to cloud-native, serverless ETL solutions
Data Architecture & Strategic Modeling: Understanding of advanced data modeling principles and practical experience in data warehouse design and development, ensuring data integrity, scalability, security, and optimal performance
AI-Powered Development: Ability to leverage advanced AI tools, such as Devin, for efficient code refactoring, optimization, and identifying potential code improvements, thereby enhancing code quality and developer productivity
DevOps, Version Control & Containerization: CI/CD pipelines, Git, Docker and Kubernetes
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Advanced Java & AI Engineer-Vice President

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Core Java: You possess advanced proficiency in Java/J2EE (Java 8+ preferred) and a solid understanding of object-oriented design principles.
Spring Framework: You are an expert in the Spring Framework, specifically Spring Boot, Spring Cloud, Spring Data, and related Spring components.
Microservices: You have extensive experience in designing and developing microservices-based architectures.
Containerization & Cloud: You are proficient with Docker for containerizing applications and Kubernetes for orchestration, deployment, and scaling.
Messaging Systems: You are proficient in Apache Kafka, with demonstrated experience in designing and implementing Kafka Producer and Consumer applications.
Rules Engine: You have experience implementing complex rules using the Drools engine.
AI Development Tools: You are proficient in using AI Dev assist tools such as GitHub CoPilot for building Java applications.
Testing: You have experience with testing frameworks like JUnit, Mockito, WireMock, and various integration testing methodologies.
CI/CD: You are familiar with Git, CI/CD tools, and modern continuous integration and deployment practices.
Operating Systems & Servers: You possess knowledge of Linux, Tomcat, and AHS (Apache HTTP Server).

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Fulltime

Senior Vice President of Data & Infrastructure

As SVP of Data & Infrastructure, you will report into our CTO, Lalith Vadlamanna...

Location

United States

Salary:

Not provided

Aledade, Inc.

Expiration Date

Until further notice

Requirements

BS (or higher) in Computer Science or a related field
8+ years of building and leading highly complex, technical engineering teams
10+ years of production-level experience as an engineer building highly scalable and reliable software
Developing and delivering a multi-year vision and strategy with incremental quarterly deliverables with cross-functional efforts that span multiple teams
Demonstrated proficiency in attracting, hiring, and coaching world-class engineers and managers
Demonstrated experience in taking ownership of technology decisions while delegating and empowering team members
Excellent teamwork, communication, and project management skills
Align with product and organization objectives, and coordinate with cross-regional teams on delivering key results
Experience managing an ML, Gen AI, SaaS, or data-focused platform
Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training

Job Responsibility

Impact: Balance short and long-term business impact by developing a decisive yet principled build-buy-partner strategy
People: Develop outstanding teams using a combination of world-class-hiring and direct-timely-actionable feedback to develop engineering talent
Execution: Set aggressive yet clear goals and remove all roadblocks for the team to achieve them
Collaboration: Develop strong relationships and work cross-functionally with many partners across organizations and functions, and as a result, increase the impact of the team’s work
Company: Work closely with company-wide engineering leaders to drive engineering excellence in our processes and systems

Fulltime

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)

Job Responsibility

Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams

Fulltime

Vice President of Technology

We are looking for a strategic technology executive to lead and strengthen the o...

Location

United States , Las Vegas

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in information technology, computer science, engineering, business, or a related discipline
At least 12 years of progressive leadership experience across technology operations, enterprise platforms, engineering, or related functions
Demonstrated success managing complex business systems, including Salesforce or comparable platforms
Broad knowledge spanning applications, data, infrastructure, security, and cross-functional technology initiatives
Experience establishing governance practices, managing third-party vendors, and maintaining effective service delivery standards
Proven ability to influence executive stakeholders and lead teams operating across distributed or remote environments
Familiarity with technologies and methods such as AWS, Cisco environments, core infrastructure management, Agile Scrum, and enterprise hardware
Preferred background includes advanced education or experience in service-focused roles, consulting, finance, automation, analytics, or AI-driven initiatives

Job Responsibility

Direct the overall health and performance of enterprise technology platforms, including CRM, infrastructure, and collaboration environments, to ensure dependable day-to-day operations
Shape and execute a technology roadmap that supports organizational goals, improves service delivery, and enhances the experience of both internal users and clients
Oversee system administration, platform integrations, and ongoing enhancements to maintain scalability, usability, and business alignment
Establish disciplined release, change, and incident management practices that minimize disruption and improve reliability across the technology environment
Partner with business leaders in sales, marketing, finance, operations, and client-facing teams to identify practical solutions and prioritize high-value initiatives
Champion opportunities for automation, artificial intelligence, and process optimization that increase efficiency and create measurable business impact
Collaborate with data stakeholders to strengthen reporting consistency, improve data quality, and support analytics and AI-enabled initiatives with dependable governance
Work with security partners and service providers to uphold access controls, reduce technology risk, and support compliance-focused operating standards
Lead vendor and partner relationships, monitoring service quality, cost effectiveness, and accountability while refining the external support landscape as needed
Provide oversight for technology project delivery, ensuring initiatives are executed with quality, clear stakeholder communication, and strong business outcomes

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training

Fulltime

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Vice President - Technology (Data & AI Infrastructure Engineer)

Job Description

Job Responsibility

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