Sr. / Lead Forward Deployed Engineer (AI)

About Alpha FMC:

Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. Founded in 2003, we have worked for over 20 years to bring together specialist, sector-focused strategy, management consulting and technology expertise to support the entire client transformation lifecycle. We have over 1,180 consultants working with clients across North America, the UK, Europe, Middle East and APAC.

About the role:

As a Sr. / Lead Forward Deployed Engineer at AlphaFMC, you will play a pivotal role in shaping how leading financial services organizations adopt and scale AI. You will work on high-visibility initiatives inside wealth management firms, banks, and insurance companies, where the stakes are high and the standards for performance, safety, and governance are non-negotiable. Your experience in data science, LLMs, and agentic AI will directly influence how our clients operate and compete.

What you'll do:

• Own the full lifecycle of AI/ML projects, including problem framing, data acquisition, feature engineering, model and LLM selection and fine-tuning, evaluation, deployment, monitoring, and continuous improvement
• Design, build, and maintain scalable data pipelines for ingestion, preprocessing, and feature engineering, supporting both structured and unstructured enterprise data
• Implement RAG pipelines using vector databases and embedding strategies to ground LLMs in proprietary enterprise data
• Fine-tune, prompt-engineer, and evaluate LLMs for domain-specific tasks
• Design and orchestrate agentic workflows including tool-using agents, multi-step planners, guardrails, and alignment mechanisms
• Establish robust evaluation frameworks covering hallucination checks, calibration, bias and fairness, and adversarial testing
• Build logging, telemetry, safeguards, governance artifacts, and documentation for model risk management
• Lead the end-to-end lifecycle of AI models from experimentation and prototyping to scalable deployment in production environments using MLOps best practices, CI/CD, and cloud platforms (AWS, Azure, GCP)
• Optimize inference latency, throughput, and cost; establish monitoring and observability
• Work closely with AI engineers, software engineers, product managers, and business stakeholders to translate complex business problems into AI-native solutions

Qualifications:

• Bachelor's degree in a related field
• At least 5 years of experience designing and deploying ML/AI systems with at least one agentic workflow in production
• 5+ years Python and SQL
• Cloud platform experience (AWS, Azure, GCP)
• Consulting or client-facing background
• Data warehousing expertise (Snowflake, Azure Data Lake, AWS S3)
• Deep LLM, NLP, and agentic modeling knowledge
• Model risk management familiarity in regulated industries

Frameworks: LangGraph, LangChain Agents, DSPy.

Compensation: $150,000 - $210,000 base salary, plus annual profit-sharing.
Benefits: 401(k) matching, 25 days PTO, medical/dental/vision, commuting/mobile/home internet reimbursement, professional certification sponsorship with 5 paid training days/year, North America team retreats.