Sr. AI Deployment Manager Job at Dialpad (Austin)

Sr. Consultant - Data and AI (Infor M3 and Birst)

We are looking for an experienced and client-focused Senior Consultant with stro...

Location

United States

Salary:

Not provided

Columbus United Kingdom

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field
8+ years of experience in enterprise data and analytics projects, including 3+ years with Infor M3 and Birst
Strong understanding of Infor M3 CloudSuite modules and Birst architecture
Hands-on experience with Birst space design, Automated Data Refinement (ADR), and data blending
Proficient in SQL and data transformation logic involving M3 and external sources
Familiarity with Infor ION, Data Lake, and integration patterns
Excellent communication, client engagement, and documentation skills
Ability to manage multiple clients and projects concurrently with minimal supervision

Job Responsibility

Lead and deliver client-facing engagements centered on M3 Analytics and Birst reporting solutions
Configure, design, develop and customize robust, scalable data models and dashboards using Infor Birst, aligned with M3 Analytics and other data sources to meet client business requirements
Act as the technical lead for analytics projects involving Infor M3 CloudSuite, the Infor Data Lake, and third-party integrations
Build and optimize Birst spaces, data models, dashboards, and reports that support key business processes (e.g., finance, supply chain, manufacturing, inventory)
Leverage and customize prebuilt M3 Analytics content to suit business-specific KPIs and reporting requirements
Advise clients on best practices for Infor M3 Analytics integration, governance, and usage
Perform data modeling, ETL/ELT design, and performance tuning for Birst-based reporting environments
Leverage M3 CloudSuite data and the Infor Data Lake to create actionable reports and KPIs
Collaborate with client stakeholders to gather requirements and translate them into technical designs
Troubleshoot complex analytics issues and ensure data quality, accuracy, and consistency

What we offer

Health, Life, Dental Insurance
Short- and Long-Term Disability
Paid vacation
Sick leave
Holidays
401(k)

Fulltime

Staff Software Engineer

This position will design and build intelligent AI agent systems, LLM-based appl...

Location

United States , Dallas

Salary:

Not provided

JLL

Expiration Date

Until further notice

Requirements

4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI system implementations
4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications
Experience working with vector databases, knowledge graphs, and RAG pipeline development
Advising on best practices for AI agent development and enterprise AI integration processes
Experience in deploying AI models and agents in multiple environments (dev, staging, production)
Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AI-related risks and reporting them
Proficient in developing, deploying, and orchestrating multi-agent AI systems
Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization

Job Responsibility

Design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications
Provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration
Develop and deploy agentic AI solutions that can autonomously perform complex business tasks

What we offer

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

Fulltime

Sr. AI Deployment Manager

As an AI Deployment Manager, you will lead the end-to-end delivery lifecycle of ...

Location

United States , Tempe

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

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

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

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

Sr. Manager, Data Science

As a Data Science Manager, you will lead the organization’s data science and AI ...

Location

United States , San Diego

Salary:

162000.00 - 242000.00 USD / Year

ResMed

Expiration Date

Until further notice

Requirements

8+ years of industry experience in Data Science, Machine Learning Engineering, or related fields
Master’s or PhD in Data Science, Machine Learning, Computer Science, Operations Research, Applied Statistics, Biomedical Informatics, or closely related disciplines
Proven experience managing and leading data science or AI teams, including mentoring junior members and developing team processes
Experience in productionization of AI models and collaboration with engineering for deployment and support
Excellent communication and stakeholder management skills
Proven ability to work across cross-functional teams and drive consensus on technical strategies and business priorities
Demonstrated expertise in model development, deployment, and performance evaluation for production-grade AI solutions
Strong foundation in probability, statistics, computer science, time series analysis, linear algebra, and discrete math
Extensive, practical experience applying advanced AI and machine learning methods—such as NLP, time-series analysis, computer vision, recommender systems, and reinforcement learning—using common algorithms, with a strong understanding of their real-world trade-offs in production settings
Extensive experience building and managing ETL pipelines and data workflows to handle large, complex structured and unstructured datasets, enabling their effective use in AI algorithm development

Job Responsibility

Stakeholder Engagement: Build strong partnerships with AI Product stakeholders, Product Management, Engineering, and business teams to identify business challenges, opportunities, and define requirements for AI solutions
AI Model Development Roadmap: Lead and continually refine the AI model development roadmap, ensuring alignment between technical strategy, business goals, and emerging opportunities
Risk Mitigation: Proactively identify and address AI-related risks, maintaining robust standards for model governance, compliance, and ethical deployment of AI solutions
Model Development Enablement: Anticipate and overcome challenges in data science projects by bridging gaps in technology, data, platforms, or skillsets to ensure teams have the resources and support needed for timely product delivery
Standardization of Experimentation: Establish and implement standardized processes for experimentation, including documentation, validation, and performance evaluation to ensure consistent, reproducible results
Technical Review and Guidance: Participate in code and model reviews, providing technical guidance to ensure model robustness and quality while identifying areas for improvement
Collaboration with Engineering: Partner with engineering teams to ensure smooth integration, scalability, and monitoring of AI models in production environments
Opportunity Analysis: Help stakeholders pinpoint key problem areas where AI solutions can deliver measurable impact, leveraging organizational data and advanced analytics
Team Leadership and Development: Mentor and empower a team of data scientists, fostering innovation and aligning technical skills with long-term AI strategy for impactful model delivery
Continuous Technical Strategization: Monitor industry and academic breakthroughs in AI to proactively set and evolve the technical roadmap, ensuring the team is prepared to deliver state-of-the-art solutions

What we offer

comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), tuition assistance, Flexible Time Off (FTO), 11 paid holidays plus 3 floating days, eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave

Fulltime

Sr. AI/ML Engineer

Utilities are accelerating their enterprise AI adoption across Operations, Custo...

Location

United States , San Francisco

Salary:

105.00 USD / Hour

Realign

Expiration Date

Until further notice

Requirements

Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration
Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms
Experience deploying AI in regulated environments
Hands-on architectural and engineering leadership capabilities
Strong communication skills with VP/Senior Director stakeholders
10+ Years Experience

Job Responsibility

Define the enterprise AI vision, roadmap, and operating model
Identify and prioritize AI/ML/GenAI opportunities across business units
Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&A automation, and contact center assistants
Establish AI governance, compliance, model risk management, and auditability frameworks
Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops
Mentor and guide data scientists, ML engineers, architects, and product owners
Promote AI literacy, change management, and best practices across the enterprise

Sr. AI Engineer

Lead the evolution of T-Mobile’s Agentic Next Best Action (ANBA) capabilities—po...

Location

United States , Overland Park; Frisco; Bellevue

Salary:

133100.00 - 240100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

4+ yrs developing and deploying machine learning models, particularly in the context of AI-driven customer service automation.
4+ yrs experience with advanced AI techniques such as prompt engineering, fine-tuning, and creating AI tools and workflows
4+ collaborating with cross-functional teams to integrate AI systems into production environments
Proficiency in Python and AI development frameworks for building scalable AI applications.
Experience with operational excellence practices and observability tools (e.g., Weights & Biases, Splunk, Datadog) for monitoring, logging, and troubleshooting AI systems in production.
Experience with project management tools and agile methodologies (e.g., Jira, Azure DevOps) to plan, track, and deliver AI initiatives efficiently in cross-functional environments.
Experience in LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini)
Experience with AI orchestration tools (e.g., LangChain, LlamaIndex, vector databases for retrieval augmented genetation).
Hands-on knowledge of function calling and API-based reasoning models (e.g., using structured outputs to drive automated workflows).
Familiarity with RAG pipelines and vector database retrieval for augmenting AI responses.

Job Responsibility

Builds agentic AI systems that accomplish complex tasks by invoking AI models as well as internal and third-party tools using APIs, ensuring seamless data flow in production environments
Optimizes performance of agentic AI systems through innovative techniques such as prompt engineering, fine-tuning and reinforcement learning using T-Mobile’s customer interaction data
Develops AI tools, workflows, and middleware to enhance model capabilities, such as structured reasoning, multi-step task execution, and improved contextual memory.
Implements retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data.
Collaborates in a highly matrixed environment with backend engineers, business experts and conversation designers to ensure AI-driven enhancements are effectively integrated into production environments
Tracks success metrics that aligns with business requirements and continuously evaluate and improve model quality based on those metrics
Develops internal tooling and automation to streamline AI deployment, evaluation, and self-improvement mechanisms.
Monitors real-world AI performance and proactively iterates on model behavior based on live interaction data.
Stays up to date with latest LLM advancements in prompt design, prompt optimization, few-shot learning, Tool integration protocols like MCP and AI orchestration frameworks like Agent SDK

What we offer

annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
medical, dental and vision insurance
flexible spending account
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays

Fulltime

Sr. Lead AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Sr. Distinguished AI Engineer

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , Cambridge, Massachusetts; New York, New York; Richmond, Virginia; San Jose, California; McLean, Virginia; San Francisco, California

Salary:

280600.00 - 384200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields 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

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Fulltime

Sr. AI Deployment Manager

Dialpad

Location:
United States , Austin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 14, 2026

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