Lead business and technology transformation initiatives from strategy through execution and value realization.
Locations (8)
New York, New York, United States
Atlanta, Georgia, United States
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Grandview Heights, Ohio, United States
Show all 8 locations
Hoboken, New Jersey, United States
Philadelphia, Pennsylvania, United States
Compensation
The salary range for this job is:
New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400
Bay Area California offices – $189,400 to $393,200
All other offices locations in the US, including Sacramento – $151,500 to $346,000
Responsibilities
Lead business and technology transformation initiatives from strategy through execution and value realization.
Partner with executive stakeholders to define business priorities, transformation roadmaps, and investment strategies.
Shape and oversee solution architecture across cloud, data, AI, digital, and platform engineering domains.
Align business objectives, operating models, and technology solutions to drive measurable outcomes.
Lead cross-functional teams spanning product, engineering, architecture, and business stakeholders.
Requirements
Bachelor’s degree in Computer Science, Engineering, Business, or a related field
The role focuses on advanced prompt engineering, foundation model optimization, and programmatic evaluation of LLM applications for financial services and healthcare sectors.
Responsibilities
Programmatically generate, test, and evaluate prompt performance at scale using Python.
Manage foundation model behaviors (GPT-4, Llama, Claude, Mistral), context window dynamics, and tokenization mechanics.
Implement output validation libraries (Pydantic, Instructor) and guardrail systems.
Focus on edge-case mapping, deterministic output formatting, and cost optimization.
Apply advanced prompting techniques such as Few-Shot Prompting, Chain-of-Thought (CoT), ReAct, and Context Engineering.
Architect the AI orchestration layer for a conversational commerce platform that powers AskOle’s global football super app.
Responsibilities
Design and lead the architecture of a next‑generation conversational AI platform
Coordinate multiple large language models, specialized agents, retrieval systems, recommendation engines, and external APIs into a single seamless conversational experience
Define technical vision, establish architectural standards, evaluate emerging AI technologies
Mentor senior engineers and make long‑term decisions regarding LLM strategy, retrieval architecture, agent design, memory management, semantic search, vector databases, knowledge graphs, and AI evaluation frameworks
Ensure integration across the entire ecosystem while maintaining scalability, reliability, performance, and user experience
We are looking for a data scientist to support various initiatives related to the platform as well as the execution of use cases to support the needs of various businesses within the government.
Responsibilities
Run and Monitor Inferences
Execute batch inference jobs on Databricks and other environments
Troubleshoot inference issues, log results, and escalate model anomalies
Assist with running DSPy pipelines and loading custom models/configs
Lead technical strategy, design end-to-end ML pipelines, and drive pre‑sales engagements for enterprise‑grade machine learning solutions on Databricks.
Locations (3)
Arlington, Virginia, United States
Chicago, Illinois, United States
United States
Compensation
The base salary range for this position for candidates based in the US is $140,000-210,000 per year.
Responsibilities
Define business‑value metrics and technical performance targets
Lead technical scoping, feasibility assessments and solution design
Design scalable, secure and maintainable end‑to‑end ML pipelines
Direct cross‑functional delivery teams of Data Scientists, Data Engineers and ML Engineers
Establish code quality standards, model validation protocols and technical best practices
Compensation starts at 190,000 CZK per month, with the final offer determined by the candidate’s seniority and experience.
Responsibilities
Own the technical vision and system architecture for machine learning workflows driving Depo Copilot, Depo Summaries, and the Meetings and Notetaking app.
Architect and build LLM pipelines capable of reasoning over extensive case files and real‑time transcripts, ensuring all outputs are fully grounded in source material.
Determine optimal model strategies – evaluating when custom fine‑tuning or trained models are required over prompt engineering – and lead implementation.
Establish evaluation frameworks alongside our legal experts and annotators, creating custom datasets, rubrics, offline metrics, and release checks to proactively prevent regressions.
Optimize pipeline efficiency, latency, and operational costs for live streaming analysis using strategic model selection, fallbacks, and precomputation.
Associate Director - Forward Deployed Engineer/AI Engineer
Lead solution architecture and delivery of AI/GenAI solutions across India and US teams, ensuring compliance with regulatory frameworks and driving innovation with LLMs and cloud technologies.
Responsibilities
Design and implement end-to-end architecture for complex web applications
Oversee architectural decisions and provide technical leadership
Evaluate emerging technologies and recommend innovative solutions
Collaborate with stakeholders to gather requirements and translate them into technical specifications
Ensure technical solutions meet compliance, security, and scalability requirements
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or equivalent
Help set and execute technical direction for autonomous, closed-loop agentic systems that continuously optimize, compress, and modularize system instructions and agent trajectories.
The salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $134,700 to $202,200; Bay Area California offices – $140,400 to $210,700; All other offices locations in the US including Sacramento – $112,300 to $185,400
Responsibilities
Design, develop, test, deploy, and support production-grade AI/ML, generative AI, and intelligent automation solutions.
Solve complex technical problems through coding, debugging, testing, troubleshooting, and structured design remediation.
Translate business and user requirements into technical designs, APIs, workflows, and supportable implementation patterns.
Build and integrate LLM, RAG, and agentic solution components into enterprise applications and platforms.
Contribute to system design across service boundaries, orchestration layers, data flows, security controls, and external integrations.
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