CrawlJobs Logo

Sr. AI Deployment Manager

United States, Austin · Job Posted February 14, 2026
Apply Position
Job Link Share

Job Description

As an AI Deployment Manager, you will lead the end-to-end delivery lifecycle of autonomous AI systems for our enterprise customers. Unlike traditional software, agentic AI involves non-deterministic logic and complex multi-step reasoning. You will lead a 'Deployment Pod' consisting of Forward Deployed Engineers and AI Deployment Engineers to ensure our agents don't just 'talk,' but actually 'do' work safely and effectively. Your mission is to manage the RAID (Risks, Assumptions, Issues, Dependencies) of autonomous systems, ensuring that every deployment has clear guardrails, measurable KPIs, and high user adoption.

Job Responsibility

  • Pod Leadership: Orchestrate a cross-functional team (FDEs, Architects, and Data Scientists) to deliver complex multi-agent systems
  • Scoping & Discovery: Work with customers to map their manual business processes (e.g., 'Inbound Lead Qualification') into structured agentic 'Skills' and 'Tasks'
  • Risk & Guardrail Management: Lead the 'Safety Review' of every deployment. Ensure agents have clear limits on their authority (e.g., 'The agent can draft an email but cannot hit 'Send' without human approval')
  • Evaluation & UAT: Define the 'Gold Dataset' (the ground truth) for User Acceptance Testing. Manage the process of 'grading' AI performance to ensure the agent meets the customer's accuracy requirements before go-live
  • Integration Coordination: Oversee the mapping of agent tool-calling to connectors (CRM, ERP, Billing systems), ensuring security and data privacy standards are met
  • Change Management: Partner with customer business leads to help showcase the value of our Agents to increase adoption
  • Ensure Success: Define success criteria, capture appropriate data, and report out on successes and failures

Requirements

  • 5+ years in Technical Project Management, preferably in SaaS, CCaaS, or Enterprise AI
  • AI Literacy: understand the difference between a simple Chatbot and an Agent, comfortable discussing 'Context Windows,' 'Hallucination Rates,' and 'Inference Costs'
  • Agile/Hybrid Mastery: experience running sprints in a world where AI logic can be unpredictable, know how to pivot when an agent's reasoning path fails during testing
  • Stakeholder Management: ability to explain to a non-technical customer why an AI made a specific 'mistake' and how the team is adding a 'control' to prevent it
  • Scrappy: thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results for the customer, often working under tight timelines
  • Culture Builder: contribute to a dynamic team culture, focused on high-growth industry innovation, team collaboration, customer success, and having fun

Nice to have

  • Project management certifications (PMP, CAPM, PRINCE2, PMI-ACP)
  • Telephony stack knowledge (WebRTC, SIP, SBCs)
  • Experience deploying chatbots or voice bots at >10K daily conversations
  • Contributions to open‑source AI agent frameworks

What we offer

  • Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
  • offices designed to be inclusive, offering a vibrant environment to cultivate collaboration and connection
  • exceptional culture, recognized repeatedly as a certified Great Place to Work

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Sr. AI Deployment Manager

8 matching positions

Sr. AI Deployment Manager

As an AI Deployment Manager, you will lead the end-to-end delivery lifecycle of ...
Location
Location
United States , Tempe
Salary
Salary:
Not provided
dialpad.com Logo
Dialpad
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in Technical Project Management, preferably in SaaS, CCaaS, or Enterprise AI
  • AI Literacy: understand the difference between a simple Chatbot and an Agent, comfortable discussing 'Context Windows,' 'Hallucination Rates,' and 'Inference Costs'
  • Agile/Hybrid Mastery: experience running sprints in a world where AI logic can be unpredictable, know how to pivot when an agent's reasoning path fails during testing
  • Stakeholder Management: ability to explain to a non-technical customer why an AI made a specific 'mistake' and how the team is adding a 'control' to prevent it
  • Scrappy: thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results for the customer, often working under tight timelines
  • Culture Builder: contribute to a dynamic team culture, focused on high-growth industry innovation, team collaboration, customer success, and having fun
Job Responsibility
Job Responsibility
  • Pod Leadership: Orchestrate a cross-functional team (FDEs, Architects, and Data Scientists) to deliver complex multi-agent systems
  • Scoping & Discovery: Work with customers to map their manual business processes (e.g., 'Inbound Lead Qualification') into structured agentic 'Skills' and 'Tasks'
  • Risk & Guardrail Management: Lead the 'Safety Review' of every deployment. Ensure agents have clear limits on their authority (e.g., 'The agent can draft an email but cannot hit 'Send' without human approval')
  • Evaluation & UAT: Define the 'Gold Dataset' (the ground truth) for User Acceptance Testing. Manage the process of 'grading' AI performance to ensure the agent meets the customer's accuracy requirements before go-live
  • Integration Coordination: Oversee the mapping of agent tool-calling to connectors (CRM, ERP, Billing systems), ensuring security and data privacy standards are met
  • Change Management: Partner with customer business leads to help showcase the value of our Agents to increase adoption
  • Ensure Success: Define success criteria, capture appropriate data, and report out on successes and failures
What we offer
What we offer
  • Dialpad offers competitive benefits and perks, alongside a robust training program that helps you reach your full potential
  • We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection
  • Our exceptional culture, recognized repeatedly as a certified Great Place to Work, ensures every employee feels valued and empowered to contribute to our collective success
  • Fulltime
Read More
Arrow Right

Manager / Sr Manager, Engineering (AI Posture)

Location
Location
United States , Santa Clara
Salary
Salary:
185000.00 - 298000.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-7 years of experience managing software engineering teams within a large-scale organization
  • 5+ years of hands-on software engineering experience with a strong systems-level foundation
  • Proven ability to plan, execute, and deliver complex roadmaps with high predictability, owning distributed cloud products end-to-end
  • Demonstrated experience leading teams through the delivery of complex, data-rich web applications with a focus on performance and usability
  • Demonstrated experience designing and operating large-scale cloud architectures on platforms such as GCP, AWS, or Azure
  • Strong collaboration skills with a track record of aligning cross-disciplinary teams around shared objectives
Job Responsibility
Job Responsibility
  • Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact
  • Partner closely with Product Management and cross-functional teams (Infrastructure, UX, SRE & QA) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders
  • Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery
  • Provide architectural leadership for scalable, distributed systems guiding the design and implementation of high-throughput, cloud-native applications
  • Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence
  • Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans
  • Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction
  • Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security
  • Fulltime
Read More
Arrow Right

Sr Finance Manager- AI & Finance Transformation

This role sits at the intersection of Finance, Data, and AI. The mandate is stra...
Location
Location
United States , Overland Park; Bellevue
Salary
Salary:
Not provided
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years in FP&A, Finance Transformation, Data, or related field
  • Demonstrated experience building or deploying AI/ML or automation solutions (not just using them)
  • Working knowledge of agentic AI concepts (multi-step workflows, tool use, retrieval, orchestration)
  • Strong understanding of FP&A fundamentals (forecasting, budgeting, variance analysis)
  • Experience working with enterprise data platforms (Snowflake, Azure, etc.)
  • Ability to translate ambiguous business problems into scalable technical solutions
  • Bachelor’s degree in Finance, Accounting, Economics, Computer Science, Data Science, Information Systems, Engineering, or related field
  • Equivalent combination of education, technical training, and relevant experience may be considered
  • At least 18 years of age
  • Legally authorized to work in the United States
Job Responsibility
Job Responsibility
  • Own AI-driven transformation of FP&A workflows
  • Identify high-value use cases across Network and IT finance
  • Replace legacy Excel/manual models with scalable, automated solutions
  • Design and deploy agentic AI solutions
  • Build or orchestrate agent-based systems leveraging modern AI platforms (e.g., Anthropic, Google, OpenAI, etc.)
  • Implement workflows that integrate reasoning, retrieval, and execution across financial datasets
  • Integrate enterprise data ecosystems
  • Connect and normalize data across Snowflake, Azure, and other platforms
  • Incorporate structured and unstructured data from procurement, accounting, network systems, and IT
  • Enable and scale adoption
What we offer
What we offer
  • competitive base salary and compensation package
  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • free, year-round money coaches
  • medical, dental and vision insurance
  • flexible spending account
  • employee stock grants
  • paid time off
  • up to 12 paid holidays
  • Fulltime
Read More
Arrow Right

Sr. Deployment Engineer, AI Inference

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. ...
Location
Location
United States; Canada , Sunnyvale; Toronto
Salary
Salary:
Not provided
cerebras.net Logo
Cerebras Systems
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-7 years of experience in operating on-prem compute infrastructure (ideally in Machine Learning or High-Performance Compute) or in developing and managing complex AWS plane infrastructure for hybrid deployments
  • Strong proficiency in Python for automation, orchestration, and deployment tooling
  • Solid understanding of Linux-based systems and command-line tools
  • Extensive knowledge of Docker containers and container orchestration platforms like K8S
  • Familiarity with spine-leaf (Clos) networking architecture
  • Proficiency with telemetry and observability stacks such as Prometheus, InfluxDB and Grafana
  • Strong ownership mindset and accountability for complex deployments
  • Ability to work effectively in a fast-paced environment.
Job Responsibility
Job Responsibility
  • Deploy AI inference replicas and cluster software across multiple datacenters
  • Operate across heterogeneous datacenter environments undergoing rapid 10x growth
  • Maximize capacity allocation and optimize replica placement using constraint-solver algorithms
  • Operate bare-metal inference infrastructure while supporting transition to K8S-based platform
  • Develop and extend telemetry, observability and alerting solutions to ensure deployment reliability at scale
  • Develop and extend a fully automated deployment pipeline to support fast software updates and capacity reallocation at scale
  • Translate technical and customer needs into actionable requirements for the Dev Infra, Cluster, Platform and Core teams
  • Stay up to date with the latest advancements in AI compute infrastructure and related technologies.
What we offer
What we offer
  • Build a breakthrough AI platform beyond the constraints of the GPU
  • Publish and open source their cutting-edge AI research
  • Work on one of the fastest AI supercomputers in the world
  • Enjoy job stability with startup vitality
  • Our simple, non-corporate work culture that respects individual beliefs.
  • Fulltime
Read More
Arrow Right

Sr. Digital Strategic Operations Manager - AI Adoption

As the Sr. Digital Strategic Operations Manager, you will be the engine room of ...
Location
Location
United States , Santa Clara
Salary
Salary:
138000.00 - 222000.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in Marketing, Marketing Operations, or Business Strategy leadership within a global enterprise technology company with a focus on process architecture
  • Proficiency in budget management, ROI analysis, headcount planning, and financial modeling within a marketing context
  • Comprehensive understanding of SaaS business models, modern demand generation, and the complexities of global enterprise marketing
  • Proven capability to lead large-scale organizational transformations with a strong bias toward iterative processes
  • Ability to build deep relationships and influence senior leaders without direct authority
  • Comfortable driving accountability with senior leaders and cross-functional GTM teams
  • Absolute integrity and the ability to handle sensitive information regarding organizational changes, budgets, and performance
Job Responsibility
Job Responsibility
  • Define and scale AI-enabled capabilities and workflows, moving AI from "experimentation" to "standardized production."
  • Lead high-priority transformation initiatives (e.g., M&A integrations, enterprise rollouts) with a focus on risk management and measurable outcomes
  • Partner with Finance to ensure disciplined capital allocation, managing budget pacing and vendor consolidation
  • Design and deliver the curriculum required to scale digital literacy and change adoption across the global marketing team
  • Agentic Workflows: Oversee the deployment of agentic workflows, ensuring AI agents are properly integrated into systems like SFDC and Marketo
  • AI Guardrails: Implement and enforce AI safe-use standards and quality guardrails to ensure brand safety and privacy compliance
  • Value Realization: Establish KPIs for AI adoption, targeting significant reductions in manual reporting and execution hours
  • Fulltime
Read More
Arrow Right

Sr. Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose, California; San Francisco, California
Salary
Salary:
343400.00 - 392000.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies
  • At least 10 years of experience programming with Python, Go, Scala, or Java
  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms
  • 2+ years of experience supporting Agentic Frameworks
  • 2+ years of experience with LLMOps
  • 8+ years of experience designing mission-critical machine learning platforms
  • 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
  • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
  • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang
  • Master's degree in Computer Science, Computer Engineering, or relevant technical field
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
  • Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs
  • Standardizing and automating agentic workflows
  • Contribute to crafting an end to end GenAI SDK, CLI and starter kits
  • Help bring together a vision of central guardrail services
  • Collaborate with cross organization architects to drive end to end performance
  • Accelerate innovation by incubating proof of concepts and driving RFCs
  • Own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
  • Coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Sr. Applied AI Engineer, Generative AI Applications

HBS Foundry is a new initiative at Harvard Business School that helps founders b...
Location
Location
United States , Boston
Salary
Salary:
Not provided
hbs.edu Logo
HBS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum of seven years’ post-secondary education or relevant work experience
  • A bachelor's degree in computer science, data science, or a related field is required
  • Strong proficiency in programming languages such as Python and Java
  • Experience with AI frameworks like TensorFlow and PyTorch
  • Strong analytical and logical thinking skills to tackle complex problems
  • Ability to work effectively with cross-functional teams
  • Familiarity with cloud platforms is often beneficial
Job Responsibility
Job Responsibility
  • Lead comprehensive applications/web development for highly complex projects
  • Deliver strategic and expert coding
  • focus on overarching development strategy for a large, complex, multi-faceted application
  • May manage a number of projects simultaneously
  • Design, develop, and deploy state-of-the-art generative AI models
  • Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
  • Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision
  • Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs
  • Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models
  • Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement
What we offer
What we offer
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks
Read More
Arrow Right

Sr Staff AI Software Engineer (CORA AI)

Idira is looking for a Senior AI Software Engineer to join our Generative AI fou...
Location
Location
Israel , Petah Tikva
Salary
Salary:
Not provided
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree with 15 years of experience, or Master's degree with 12 years of experience, or PhD with 8 years of experience
  • Extensive experience in software engineering, with a focus on building and deploying production-grade systems
  • Proven experience with cloud platforms, particularly AWS services
  • Strong programming skills in languages such as Python
  • Hands-on experience with machine learning, deep learning, and Large Language Models (LLMs)
  • Experience with the full software development lifecycle (design, development, testing, deployment, maintenance)
Job Responsibility
Job Responsibility
  • Design, develop, and deploy scalable AI agents and shared infrastructure for GenAI capabilities
  • Manage the full software development lifecycle, from prototyping to production-grade, observable systems
  • Collaborate with product managers, researchers, and engineers to translate ideas into robust and scalable services
  • Work hands-on with large language models (LLMs), agentic frameworks, and a broad range of AWS services
  • Implement strong telemetry, evaluation metrics, and feedback loops to continuously improve AI solutions
  • Champion operational excellence through pragmatic experimentation, iteration, and solid design
Read More
Arrow Right