11 days ago
Base Salary
$135k - $230k/yr
Responsibilities
- Provide technical and operational leadership across client-facing code generation and agent workstreams.
- Establish shared technical and evaluation practices for natural-language-to-code, structured generation, and agent workflows.
- Partner with Engineering, Product, AI teams, and domain experts to develop scalable generation, evaluation, annotation, and improvement strategies.
- Define evaluation methodologies for generated code and structured outputs using correctness, semantic fidelity, execution quality, robustness, and failure analysis.
- Scale tooling, automation, data pipelines, annotation workflows, and evaluation frameworks to improve client-facing AI outcomes.
- Resolve ambiguity, identify cross-workstream dependencies, serve as a technical escalation point, and contribute hands-on to high-priority problems.
Requirements
- Significant experience in applied AI, machine learning, code generation, evaluation, data, software engineering, or a closely related technical field.
- Experience providing technical leadership across multiple projects or workstreams and influencing peers without formal authority.
- Strong technical fluency in prompts, schemas, APIs, data structures, evaluation design, and system behavior.
- Strong understanding of generative AI workflows, evaluation data, annotation, grounding, structured representations, and quality measurement.
- Experience evaluating generated code or structured outputs using metrics, error analysis, execution results, and other correctness and reliability signals.
- Strong analytical, communication, and coordination skills for converting ambiguous client or system problems into measurable improvement strategies.
- Preferred experience with natural-language-to-code, query generation, agentic systems, or other client-facing generative AI applications.
- Preferred hands-on experience with Python, SQL, APIs, structured data, schemas, data pipelines, or similar technical tooling.
- Preferred familiarity with BQL or other domain-specific query languages.
- Preferred experience designing generative AI evaluation frameworks, automated evaluation systems, benchmarks, error taxonomies, or annotation strategies.
- Preferred familiarity with execution-based evaluation, root-cause analysis, issue discovery, production monitoring, or closed-loop AI quality improvement workflows.
- Preferred experience in financial services or another complex domain-rich environment, including mentoring technical contributors and raising team capabilities.
Benefits
- Annual base salary range of $135,000–$230,000 USD, plus benefits and bonus.
- Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability, 401(k) match, life insurance, and wellness programs.
Categories
About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency and efficiency, and fairness to markets. We help connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. We challenge the status quo through constant innovation. We collaborate broadly because we know that other perspectives matter. We put our customers first, as a guiding beacon. And we believe doing the right thing – by our people, our clients, and our communities – is the best thing for our business.