AI Engineer, Capital Markets Trading

Company Overview:

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and is on track to reach the Top 20 globally by 2030. With a growing presence across the United States—including New York, Charlotte, Chicago, and Houston—BIP operates at the intersection of business strategy, technology, and data to deliver impactful solutions for clients.

With more than 6,000 professionals worldwide, BIP partners with organizations across Financial Services, Insurance, Payments, and other industries. Our capabilities span Data & AI, Cybersecurity, Risk & Compliance, Digital Transformation, and Change Management. We combine deep industry expertise with engineering excellence to help clients modernize platforms, unlock data insights, and drive innovation.

As part of our continued expansion in the United States, BIP is strengthening its Capital Markets technology practice. Our teams work closely with trading, risk, and front-office technology organizations to modernize critical platforms, enhance analytics capabilities, and support complex financial product ecosystems.

About the Role:

BIP is hiring a senior-level AI / Platform Engineer to support a high-profile technology transformation program within a leading global investment bank’s Credit Trading organization.

This role is ideal for hands-on technologists with experience modernizing trading and analytics platforms across Capital Markets environments. The successful candidate will help design and implement scalable cloud-native data and AI solutions leveraging modern analytics, engineering, and AI-assisted development tooling.

We are seeking self-starters with approximately 6+ years of experience who can work closely alongside client teams in a hybrid onsite model and contribute across platform engineering, analytics engineering, AI-enabled development, and front-office trading technology initiatives.

The role combines elements of:

• Platform Engineering
• Analytics Engineering
• AI Engineering
• Cloud Data Architecture
• Front Office / Credit Trading Technology

Key Responsibilities:

Capital Markets & Trading Technology:

• Support modernization initiatives across Credit Trading technology and analytics platforms.
• Partner with trading, risk, and front-office stakeholders to implement scalable data and reporting solutions.
• Contribute to enterprise data platform transformations supporting trading workflows and analytics.

Cloud Data & Analytics Engineering:

• Design and implement modern cloud-native data solutions using Snowflake and dbt.
• Build scalable data models, transformation pipelines, and analytics workflows.
• Develop reporting and visualization solutions using Sigma and PowerBI dashboards.
• Improve data accessibility, governance, and performance across enterprise platforms.

Full-Stack & Platform Engineering:

• Contribute to development initiatives across C#.Net, Python, JavaScript, and Golang ecosystems.
• Support modernization and containerization efforts for legacy .Net applications.
• Build scalable APIs, microservices, and cloud-native engineering solutions.

AI-Assisted Engineering & Automation:

• Leverage AI development tools such as Claude and related LLM tooling to accelerate documentation, code generation, testing, and engineering workflows.
• Support implementation of intelligent automation and AI-enabled development practices across engineering teams.

DevOps & Infrastructure Engineering:

• Build and maintain CI/CD pipelines and Infrastructure-as-Code solutions.
• Support cloud deployment automation using Terraform, GitHub, containerization, and DevOps best practices.
• Help improve platform scalability, observability, resiliency, and operational efficiency.

Required Skills & Experience:

• 6+ years of experience in Platform Engineering, Data Engineering, Software Engineering, AI Engineering, or related technical disciplines.
• Experience working within Capital Markets, Credit Trading, Private Equity/Assets, Fixed Income, or front-office trading technology environments.
• Strong hands-on experience with: Snowflake, dbt, Sigma, PowerBI
• Experience leveraging AI tools such as Claude or similar LLM-based developer tooling for code generation, testing, documentation, and engineering acceleration.
• Strong programming experience in one or more of: C#.Net, Python, JavaScript, Golang
• Experience modernizing enterprise platforms and supporting cloud-native architectures.
• Hands-on exper…