AI Engineer

About TechTorch

TechTorch is a high-growth enterprise technology consultancy that partners with the world’s leading private equity-backed businesses. We deliver AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale.

Our mission is to redefine enterprise technology consulting for private equity. We combine the agility of a scale-up with the discipline and rigor demanded by the most sophisticated investors and operators.

TechTorch was founded by seasoned leaders — including former Bain consultants, CIOs, and tech executives — with deep expertise in technology, transformation, and value creation. We are not a typical startup. We were built to succeed and to deliver results that matter.

About the Team

TechTorch teams are at the forefront of delivering enterprise technology solutions that help our clients transform their operations, unlock growth, and achieve their investment theses. We combine deep product and domain expertise with a business-first mindset, enabling us to design and deliver solutions that align with client priorities and timelines.

Our teams operate globally, collaborating across disciplines — from AI and data to enterprise systems and digital transformation — to deliver high-impact outcomes.

About the Role

As an AI Engineer, you will design, build, and deploy AI-powered solutions that enhance automation, compliance, and decision-making within fund administration and financial services. You will work on unstructured data use cases such as document intelligence, anomaly detection, and predictive analytics, leveraging AWS-based platforms and cloud-native tools.

This role is highly impactful — enabling clients to improve operational efficiency, strengthen regulatory compliance, and enhance data quality in tightly governed environments.

What You’ll Do

• Implement AI/ML models for processing operational data, including unstructured formats such as PDFs, documents, and emails.
• Build and deploy NLP, classification, and extraction models using cloud-based pipelines.
• Collaborate with product owners and business analysts to translate business problems into AI-driven solutions.
• Integrate AI capabilities into existing platforms and workflows via APIs and containerized services.
• Monitor, retrain, and manage model lifecycle using MLOps best practices.
• Apply AI techniques like OCR and Intelligent Document Processing (IDP) to financial documents such as fund prospectuses, investor reports, and KYC/AML data.
• Ensure AI systems adhere to compliance, audit, and explainability requirements in regulated environments.
• Partner with engineering and data teams to align AI models with ETL/ELT workflows, data lakes, and structured/unstructured data handling.

Who You Are

We’re looking for high-caliber professionals who meet the minimum requirements for the role and share our values and mindset.

• 5+ years of experience in AI/ML engineering, applied machine learning, or data science.
• Experience deploying ML solutions in financial services, ideally in fund administration or asset management.
• Proficiency in Python (NumPy, Scikit-learn, PyTorch, Hugging Face), SQL, and Shell scripting.
• Strong expertise in AWS cloud services (SageMaker, Textract, Comprehend, Lambda, Step Functions, API Gateway).
• Hands-on with CI/CD pipelines for ML (GitHub Actions or similar).
• Familiarity with regulatory and compliance requirements (GDPR, MiFID II, AIFMD, SFDR) and their impact on AI systems.
• Exposure to financial data formats and regulatory reporting challenges.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• Certifications such as AWS Machine Learning Specialty or equivalent are a strong plus.
• Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders.
• Collaborative, detail-oriented, and driven by experimentation and continuous improvement.

Our Values

• Client First — We focus relentlessly on delivering outcomes that create value for our clients.
• We, Not Me — We win together. Collaboration drives transformation at scale.
• Get Stuff Done — We execute with speed and precision — because in PE, time matters.
• AI First — We embed AI at the core, enabling scalable, high-leverage solutions.
• Own It — We take accountability for results, delivering on what we promise.
• Agile mindset — We adapt quickly and proactively seek better ways to move forward.

What We Offer

• The opportunity to work at the forefront of AI-powered enterprise solutions in financial services.
• Direct involvement in regulatory, compliance, and data quality challenges in PE-backed environments.
• A high-impact role where technical innovation and ownership are valued.
• Collaboration with top-tier private equity firms and global financial services organizations.
• Flexible, remote-first work environment with opportunities for professional development and certifications.