Jobs in the United States

25+ jobs

Save this search

Added 55 mins ago
O
Principal Application Software Engineer- Oracle Health
Oracle
United States
- $99,600 to $209,500 USD / year
Artificial Intelligence and Machine Learning platforms
Added 59 mins ago
Principal AI Security Engineer
Kyndryl, Inc.
Remote, United States
Experience developing or securing generative AI applications, agents, copilots, or machine learning platforms.
Added 1 hour ago
Sr Manager, Applied Science, Search
Amazon.com Services LLC
Seattle, WA · Irvine, CA
- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
Added 1 hour ago
TG
Postdoctoral Fellow (Data Engineering & AI/ML)
The Geneva Foundation
Bethesda, MD
- $36 USD / hour
Preferred qualifications: strong knowledge of sleep science, familiarity with machine learning workflows including model development, model tuning, and deploying models at scale
Added 2 hours ago
Principal Product Manager, Law Enforcement Officer Experience
BusPatrol
Remote, United States
…AI-powered safety solutions, we bring cutting-edge technology - AI, machine learning, and IoT - to school buses across North America. We’re the most trusted stop-arm safety program…
Added 2 hours ago
PI
Sr. Associate - Solutions Engineer
Pfizer Inc
NY · PA
- $79,400 to $132,400 USD / year
…artificial intelligence integrations, automation tools, and internal developer or productivity…
Added 2 hours ago
PO Global Plasma Payments
CSL Behring L.L.C.
United States
Reporting to this position: PUP Development Lead, PUP Senior Developer, and Business Analyst / Scrum Master (Payments)
Added 2 hours ago
K
Quantitative Senior Principal
Kforce
Remote, United States
- $85 to $110 USD / hour
Provide technical leadership across statistical, econometric, financial risk, machine learning, and AI-based models
Added 2 hours ago
Operations Technology Principal
Infosys
United States
Experience with environmental/clean-room, power/energy, discharge monitoring, machine vision, barcode/data capture, and industrial control systems.
Added 3 hours ago
J
Senior Director, AI Security Systems
Jobgether
Remote, United States
- $235,000 to $355,000 USD / year
15+ years of progressive professional experience in software engineering, machine learning, or security engineering, including at least 8 years managing engineering or applied research…
Added 3 hours ago
Senior AI Engineer (Automation)
Redwood Logistics
Remote, United States
Proficient in leveraging Azure or AWS to deploy scalable machine learning algorithms into production
Added 4 hours ago
IG
Principal Optimization Engineer
Insight Global
Remote, United States
- From $65 USD / hour
Strong working knowledge of AI/ML techniques - including machine learning, deep learning, Generative AI, and Agentic AI - and the ability to integrate these methods into operations research…
Added 6 hours ago
Principal Solutions Architect AI/ML, Services Delivery
Snowflake Inc.
NEW YORK, NY
…professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team to help create exciting new offerings and…
Added 8 hours ago
Senior Director, AI Security Systems (Remote)
CrowdStrike, Inc.
Remote, United States
…CrowdStrike-trained models, specialized agents, reinforcement learning, evaluation and secure deployment. We build on three advantages few organizations can match: trillions of Falcon…
Added 13 hours ago
J
AI Principal Machine Learning Engineer
Jobgether
Remote, United States
- $170,000 to $240,000 USD / year
…applications and next steps. Our partner is looking for an AI Principal Machine Learning Engineer based in the United…
Added 13 hours ago
EU
Principal AI Engineer - Evinova
Evinova US LLC Company
Gaithersburg, MD
- $144,648.8 to $189,851.55 USD / year
4+ years of experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.
Added 15 hours ago
A
Principal AI Engineer - Evinova
AstraZeneca
Gaithersburg, MD · Gaithersburg
- $144,648.8 to $189,851.55 USD / year
4+ years of experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.
Added 20 hours ago
Principal Systems Engineer - Cloud & AI Engineering
CBRE
Richardson, TX
This role combines deep expertise in data engineering, artificial intelligence, machine learning, and software engineering to solve complex cloud platform challenges, drive innovation, and…
Added 20 hours ago
Principal Generative AI Engineering Lead - Senior Vice President
Citigroup
Irving, TX
Hands-On Leadership: Remain hands-on in development, guiding the implementation of advanced machine learning, deep learning, and Generative AI models and setting the standard for code…
Added 1 day ago
EXPERIENCED CNC MACHINIST WITH UP TO $10K BONUS
HII
Newport News, VA
…workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration…
Added 1 day ago
Technical Product Manager - Transactability
Cisco
Research Triangle Park, NC
Shown ability to apply machine learning or intelligent automation to solve large-scale operational bottlenecks.
Added 1 day ago
O
Lead Principal Platform Software Engineer
Oracle
United States
- $113,600 to $306,400 USD / year
12+ years of professional experience in software engineering, machine learning engineering, applied machine learning, or related fields.
Added 1 day ago
Principal Scientist, Translational AI Foundations
Bristol Myers Squibb
Cambridge, MA
…broader fields including knowledge science, epidemiology and machine learning - across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do…
Added 1 day ago
CTO, Anthropic Practice
EPAM Systems
Boston, MA
Core AI depth: a hands-on background in machine learning or NLP that predates LLMs, plus a working grasp of how LLMs are trained, evaluated, and deployed (fine-tuning vs. retrieval vs.…
Added 1 day ago
Principal Machine Learning Engineer
Atlassian
Remote, United States
Continuous Learning: Stay updated with the latest research and advancements in machine learning, AI, and relevant technology applications. Apply cutting-edge knowledge and techniques to…

EPAM Systems

CTO, Anthropic Practice

San Francisco, CA, United States

Salary range: $200,000-$325,000 USD.

Apply About employer

Applications open in a new tab.

Job details

Pay: Salary range: $200,000-$325,000 USD.
Posting language: English
Posted: Oct 31, 2026

Original job description

EPAM is hiring a hands-on CTO to lead the technical side of our Anthropic practice, from the first client conversation to a signed deal and live delivery. The focus is agentic process transformation: redesigning end-to-end business processes around Claude-based agents that do real work, not just assist employees.

You will be the practice's senior technical voice in front of clients. You shape the solution, defend it in the room, and make sure what we sell is what we can deliver. You will work alongside sales, partner, and delivery leaders across EPAM, and with Anthropic's own teams on joint pursuits.

Req# 1123864311

Responsibilities

Own the technical story of every major deal, across four stages of the deal lifecycle
Lead technical discovery with C-level and business stakeholders, and find the processes where agents create measurable value (cost, cycle time, quality, revenue)
Run executive briefings, architecture whiteboard sessions, and live demos of Claude-based agentic solutions
Build the business case: process baseline, target state, ROI model, and risk profile
Act as the technical counterpart to Anthropic's account and solutions teams on joint pursuits
Own the technical solution in proposals and RFP responses: architecture, delivery approach, estimates, staffing model, assumptions, and risks
Design agentic architectures: orchestration patterns, tool and data integration, human-in-the-loop checkpoints, evaluation, observability, and guardrails
Shape commercial models with sales, including phased (pilot to scale) and outcome-based pricing
Scope fast proofs of concept and pilots that de-risk the deal and convert into signed programs
Stay with the deal through negotiation and answer technical due diligence, security, and compliance questions
Act as technical sponsor over the delivery lead and architect on flagship engagements, and ensure pilots reach production at enterprise scale
Set engineering standards for agent development: evals, testing, context management, cost and latency control, security, and governance
Serve as the escalation point for technical risk across the Anthropic portfolio
Build reusable assets: reference architectures, accelerators, agent templates, demo environments, and industry solution playbooks
Hire, mentor, and grow a bench of agentic AI architects and FDEs, and train EPAM's wider pre-sales and delivery community
Track Anthropic's roadmap and the wider AI market, and turn new models and products into client offers within weeks of release
Represent EPAM externally at client workshops, Anthropic partner events, and industry conferences, and publish points of view

Requirements

A builder who can sell and a seller who can build, with real depth in core AI
Experience: 12+ years in software engineering, architecture, or technical consulting, including 5+ years in a senior client-facing technical role (field CTO, principal architect, or head of solutions engineering)
Core AI depth: a hands-on background in machine learning or NLP that predates LLMs, plus a working grasp of how LLMs are trained, evaluated, and deployed (fine-tuning vs. retrieval vs. prompting, context windows, embeddings, reasoning, tool use)
Agentic systems in production: has designed and shipped LLM-based agents that run real workflows, with tool use, multi-step planning, multi-agent orchestration, retrieval, memory, and evaluation
Pre-sales track record: has led the technical side of large proposals, won them, and presented to C-level buyers
Process transformation: can map a business process, find where agents fit, and redesign the operating model around them, rather than bolting a chatbot onto the old process
Enterprise architecture breadth: cloud (AWS, Azure, Google Cloud), APIs and integration, data platforms, identity and security, and the enterprise systems agents must work with (ERP, CRM, ITSM, core industry platforms)
Communication: explains technical trade-offs to non-technical executives, then goes deep with client engineering teams the same day
Still hands-on: comfortable building a prototype or demo in Python or TypeScript
Curiosity and speed: keeps pace with a fast-moving platform and is energized, not overwhelmed, by monthly product releases

Nice to have

Anthropic platform: built with Claude models through the Claude API, Claude Agent SDK, Model Context Protocol (MCP), Agent Skills, and Claude Code; has rolled out Claude Enterprise
Cloud channels: has deployed Claude through Amazon Bedrock, Google Cloud Vertex AI, or Microsoft Foundry
Competitive fluency: knows other agent frameworks and model providers well enough to position Claude credibly against them
AI governance: working knowledge of the EU AI Act, NIST AI RMF, ISO/IEC 42001, and the rules of regulated industries
LLMOps: experience with evaluation, observability, and cost management for agents in production
Industry depth in one or more of EPAM's core sectors: financial services, insurance, life sciences and healthcare, retail and consumer, software and hi-tech, or travel and hospitality
Background at a major consultancy, hyperscaler, or AI lab in a field CTO, applied AI, or solutions engineering role
Education: advanced degree in computer science, machine learning, or a related field, or equivalent experience. Publications, patents, or open-source work are a plus

We offer

Medical, Dental and Vision Insurance (Subsidized)
Health Savings Account
Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Short-Term and Long-Term Disability (Company Provided)
Life and AD&D Insurance (Company Provided)
Employee Assistance Program
Unlimited access to LinkedIn learning solutions
Matched 401(k) Retirement Savings Plan
Paid Time Off
Legal Plan and Identity Theft Protection
Accident Insurance
Employee Discounts
Pet Insurance
Employee Stock Purchase Program

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAM (https://www.youtube.com/embed/NU_mnNITn2o?si=IiCxyQ4sr1YJWxDG)

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training, the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $200,000-$325,000 USD. This position is also eligible for variable compensation incentives. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

Applications will be accepted on a rolling basis.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance’s key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

Applicants and Employees in Unincorporated Los Angeles County: The Los Angeles Fair Chance Ordinance (LAFCO) requires employers conducting criminal history checks for applicants or employees to state the job duties for which certain criminal history may have a direct, adverse and negative relationship. For this position, these job duties include: engaging with clients, employees, and other third-parties (including the general public); accessing company and client information, IT systems and infrastructure, assets, property, and products, including proprietary coding, programs, applications, and data; and appropriately handling such information, including company and client confidential and personal information. For this reason, certain criminal history may result in the withdrawal of a condition offer of employment. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the LAFCO and the California Fair Chance Act.

EPAM welcomes all applicants and will consider qualified candidates with criminal history such as arrest and conviction records in a manner consistent applicable law, including the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring.

EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

Apply About employer

More about this job

Skills

Sales
Negotiation
Regulatory compliance
Provide technical expertise
Machine learning
Natural language processing
Business processes
Chatbot
AWS
Microsoft Azure
Google Cloud
ERP
IT service management
Communication skills
Python
TypeScript
Cost management
Computer science

Report this job