intelligence agent

VHPL

Job Title: AI Engineer &mdash; AI powered Healthcare AgentsLocation &ndash; Malad-W Mindspace MumbaiContact-8652656202We are building an intelligent AI Agent platform that connects seamlessly with major Electronic Health Record (EHR) and Practice Management Systems (PMS) to automate complex healthcare processes.As an AI Engineer, you will design, implement, and optimize the AI core that powers these healthcare AI agents &mdash; including language understanding, workflow reasoning, and contextual response generation. You&rsquo;ll work closely with experts in data engineering, EHR integration, and product design to bring precision and automation into healthcare communications.Key Responsibilities&middot; AI Agent Developmento Build and optimize multi-modal conversational agents (voice, SMS, and email) for various healthcare processes.o Develop LLM-based dialog systems that can interpret patient intent, verify appointment data, and drive next steps.o Integrate with structured data sources (EHR, FHIR APIs, appointment systems) for real-time, context-aware responses.o Design prompt architectures, retrieval-augmented generation (RAG) workflows, and context management pipelines.&middot; Voice and Text Intelligenceo Implement speech-to-text (ASR) and text-to-speech (TTS) components optimized for healthcare accuracy and tone.o Develop voice orchestration pipelines that connect NLP, reasoning, and telephony frameworks (e.g., Twilio, AWS Connect).o Train and tune models for conversation flow control, interrupt handling, and multi-turn dialog coherence.&middot; Data and Integration Collaborationo Work closely with data engineers to consume normalized healthcare data from HL7, ODBC, and other EHR data feeds.o Collaborate with software engineers to deploy scalable AI services via APIs or event-driven architectures.o Support logging, auditing, and explainability frameworks to ensure every AI interaction is traceable and compliant.&middot; Compliance C Safetyo Design agents with HIPAA, HITECH, and SOC 2-compliant data handling principles.o Implement guardrails, hallucination checks, and response moderation to ensure clinical and conversational accuracy.o Maintain model safety documentation and support compliance reviews.Required Skills G &#490;ualifications&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Computational Linguistics, or related field.&middot; 3+ years of hands-on experience developing production-grade AI or conversational systems.&middot; Strong proficiency with:o Python, LangChain, LLM orchestration frameworks (e.g., LlamaIndex, Semantic Kernel)o Vector databaseso OpenAI, Anthropic, or similar LLM APIso Speech frameworks: Whisper, Amazon Transcribe, ElevenLabso API integration with EHR/healthcare systems (FHIR, HL7v2, REST)&middot; Deep understanding of NLP, prompt engineering, and retrieval-augmented generation.&middot; Experience deploying AI services in AWS, AzurePreferred Skills&middot; Experience with telephony or voice automation frameworks (Twilio, Vonage, Amazon Connect).&middot; Prior work on agent memory, reasoning frameworks, or tool-using AI agents.&middot; Knowledge of data pipelines for AI training and feedback loops (RAG retraining, fine- tuning).&middot; Exposure to EHR integrations or healthcare workflow automation systems.&middot; Familiarity with observability and analytics tools for conversational AI (PostHog, Prometheus, OpenTelemetry).Job Types: Full-time, PermanentPay: &#8377;1,000,000.00 - &#8377;1,200,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI engineer: 4 years (Required)</li><li>Voice automation or Agent: 3 years (Required)</li><li>AI/ML: 4 years (Preferred)</li></ul>Work Location: In person

AI Engineer-AI powered Healthcare Agents

Beam AI

<div>Beam AI builds self-learning AI agents and an organisational operating system where intelligence grows through autonomous discovery. We help enterprises evolve from AI-curious to AI-native with automation that delivers results today and learns to improve itself over time. Join us in shaping a future where AI continuously discovers, adapts, and makes work more meaningful. To learn more, visit https://beam.ai/.<h3 class="jobSectionHeader">

About the Team
</h3>Beam&rsquo;s AI Agent Deployment team sits at the intersection of AI, product, and client impact. We partner closely with customers to understand their workflows, design intelligent automation solutions, and ensure our agents deliver real business value. Our work spans workflow design, agent configuration, technical integration, and ongoing optimization. We collaborate with engineering, ML, and product teams to translate abstract problems into scalable, agentic systems that work in the real world. This is a high-context, high-ownership environment where Deployment engineers operate with autonomy, move fast, and shape both how Beam&rsquo;s platform evolves and how our customers succeed.
<h3 class="jobSectionHeader">About the Role</h3>
We're looking for an AI Agent Engineer to join Beam and help us deliver AI-powered solutions! In this role, you'll be at the core of our automation platform, designing and refining AI-driven workflows through prompt engineering and hands-on problem-solving. You&rsquo;ll work closely with the team to understand business needs and help build agents that drive real impact.
This is a great opportunity for someone curious about AI, eager to learn, and excited to gain hands-on experience in a fast-paced startup environment. We&rsquo;re especially looking for someone with a technical foundation and programming skills, who is comfortable learning new tools and translating process requirements into automated workflows. This is a great opportunity for someone who has a strong drive to build, test, and improve real-world AI solutions.<h3 class="jobSectionHeader">
Responsibilities</h3>
Your work will focus on agent building and prompt design, while collaborating with team members to support project delivery. The key responsibilities include:<ul>
<li>
Build AI agents using our no-code platform, focusing on prompt creation and automation workflows.</li>
<li>Present demonstrations of your AI agents, showing how they address business needs and improve efficiency.</li>
<li>Collaborate with the internal team to scope use cases, break down processes, and translate them into agent logic.</li>
<li>Support integration efforts by understanding basic API connections and working with our technical team.</li>
<li>Participate in internal testing, feedback cycles, and training sessions to build skills in agent creation and no-code tools.</li>
<li>Contribute to improving workflows by sharing learnings from experimentation and demo creation.</li>
</ul>
Requirements<ul>
<li>
Bachelor's in Computer Science, Software Engineering, AI/ML or a related technical field.</li>
<li>Prior experience (e.g., internships, academic projects, or part-time roles) in technical roles such as Solutions or deployment Engineering, or Implementation Support.</li>
<li>Interest in prompt engineering and willingness to learn hands-on.</li>
<li>Programming knowledge, ideally in Python or Node.js.</li>
<li>Ability to break down business processes and think analytically about automation.</li>
<li>Basic understanding of how APIs work and how systems connect.</li>
<li>Strong communication and documentation skills.</li>
<li>Interest in AI technologies and a willingness to learn in a hands-on, fast-paced environment.</li>
</ul>
Nice to have:<ul>
<li>
Familiarity with no-code tools such as Zapier, Make, Relevance AI, Lindy, or similar.</li>
<li>Background in AI/ML or experience applying AI to business workflows.</li>
<li>Experience in fast-paced or startup environments.</li>
</ul>
Benefits
At Beam, we&rsquo;re building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We&rsquo;re thoughtful about what we build, how we work, and who we hire. The problems we&rsquo;re solving are real. The systems we&rsquo;re building are complex. And the people here care deeply, about craft, about speed, and about doing work that actually matters. You won&rsquo;t find rigid hierarchies or endless process here. You&rsquo;ll find high trust, high standards, and a team driven by curiosity, ownership, and long-term thinking.
What you&rsquo;ll find here<ul>
<li>Ownership with clarity: You&rsquo;ll drive work from idea to execution in a high-context, high-autonomy environment. We trust people to lead and follow through.</li>
<li>Growth that compounds: Whether you're deepening your technical expertise, exploring leadership, or learning across disciplines, we support growth paths that aren&rsquo;t one-size-fits-all.</li>
<li>Work that matters: You&rsquo;ll contribute to AI-native systems already powering real-world operations, not just prototypes or experiments.</li>
<li>Aligned incentives: We offer competitive compensation and meaningful equity, designed for long-term value creation, not just short-term rewards. When Beam wins, you do too.</li>
<li>A culture that raises the bar: You&rsquo;ll work with sharp, kind teammates who value directness, curiosity, and momentum. We challenge each other to do better and support each other every step of the way.</li>
</ul>If this sounds like the kind of work you want to do and the kind of team you want to grow with, we&rsquo;d love to hear from you!</div>

AI Agent Engineer

شركة منظومة

AI Agents DeveloperWe are looking for a talented AI Agents Developer with strong expertise in artificial intelligence and backend development to help design and build intelligent solutions that automate processes and enhance productivity.Key Responsibilities:<ul><li>Design, develop, and deploy intelligent AI agents to streamline operations and improve efficiency.</li><li>Integrate AI solutions with existing systems and platforms.</li><li>Connect APIs and external functions to large language models (LLMs) such as OpenAI.</li><li>Build and maintain robust backend APIs to support AI agent functionality.</li><li>Manage deployment, monitoring, and optimization of AI solutions on cloud platforms such as AWS, GCP, or Azure.</li></ul>Required Skills and Qualifications:<ul><li>Strong proficiency in Python and backend API development.</li><li>Hands-on experience with cloud platforms (AWS, GCP, Azure).</li><li>Knowledge of modern AI tools and frameworks such as OpenAI Assistants API and Agency Swarm.</li><li>Experience working with APIs, JSON, and prompt engineering.</li><li>Excellent problem-solving, communication, and time management skills.</li></ul>&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;, &#1583;&#1608;&#1575;&#1605; &#1580;&#1586;&#1574;&#1610;, &#1593;&#1602;&#1583;&#1575;&#1604;&#1602;&#1583;&#1585;&#1577; &#1593;&#1604;&#1609; &#1575;&#1604;&#1578;&#1606;&#1602;&#1604;/&#1575;&#1604;&#1575;&#1606;&#1578;&#1602;&#1575;&#1604;:<ul><li>Riyadh: &#1575;&#1604;&#1578;&#1606;&#1602;&#1604; &#1576;&#1588;&#1603;&#1604; &#1605;&#1608;&#1579;&#1608;&#1602; &#1571;&#1608; &#1575;&#1604;&#1578;&#1582;&#1591;&#1610;&#1591; &#1604;&#1604;&#1575;&#1606;&#1578;&#1602;&#1575;&#1604; &#1602;&#1576;&#1604; &#1575;&#1604;&#1576;&#1583;&#1569; &#1601;&#1610; &#1575;&#1604;&#1593;&#1605;&#1604; (&#1605;&#1591;&#1604;&#1608;&#1576;)</li></ul>&#1587;&#1572;&#1575;&#1604; (&#1571;&#1587;&#1574;&#1604;&#1577;) &#1591;&#1604;&#1576; &#1575;&#1604;&#1578;&#1602;&#1583;&#1605;:<ul><li>Can you describe a recent mobile app project you&rsquo;ve worked on ? What was your role in the project?</li><li>Have you developed mobile applications for both iOS and Android? Which platforms do you have more experience with</li><li>What is your experience with Swift/SwiftUI and Kotlin/Android Studio? Could you provide examples of apps you&rsquo;ve built with these technologies?</li><li>Have you integrated third-party payment gateways (e.g., Stripe, PayPal) into any of your apps?</li><li>Have you worked with cloud platforms like AWS, Google Cloud, or Firebase? How did you use them in your mobile app projects</li><li>Have you worked with video streaming or image processing in mobile applications? What technologies did you use</li><li>What is your current salary (or expected salary) </li><li>Would you be open to accepting equity as part of your compensation package? If yes, how do you feel about combining equity with a lower base salary?</li></ul>&#1575;&#1604;&#1578;&#1593;&#1604;&#1610;&#1605;:<ul><li>&#1576;&#1603;&#1575;&#1604;&#1608;&#1585;&#1610;&#1608;&#1587; (&#1605;&#1591;&#1604;&#1608;&#1576;)</li></ul>&#1575;&#1604;&#1582;&#1576;&#1585;&#1577;:<ul><li> Application Developer : 3 &#1587;&#1606;&#1608;&#1575;&#1578; (&#1605;&#1591;&#1604;&#1608;&#1576;)</li></ul>&#1575;&#1604;&#1604;&#1594;&#1577;:<ul><li>english (&#1605;&#1591;&#1604;&#1608;&#1576;)</li><li>&#1575;&#1604;&#1593;&#1585;&#1576;&#1610;&#1577; (&#1605;&#1601;&#1590;&#1604;)</li></ul>

AI Agents Developer

Locus.sh

<div><div><div>Location : Bangalore; (Full Time, Onsite)</div><h2 class="jobSectionHeader">
About Locus</h2>
Battle-tested in 350+ deployments across 30+ countries, Locus is an agentic Transportation Management System for all-mile, all-channel, trusted by enterprises like Unilever, Nestl&eacute;, and Siam Makro.
The platform unifies orders, capacity, and carrier networks into one living plan, aligning planning, execution, and settlement so promises become proof. AI co-pilots with guardrails surface risk early and recommend the next best move to protect SLAs and reduce empty miles.
 In 2025, Locus joined the Ingka Group (IKEA Retail) family, marking a major milestone in our journey. Backed by the scale and strength of IKEA, we continue to operate independently while accelerating our mission to make global supply chains faster, smarter, and more sustainable.<h3 class="jobSectionHeader">
Our Journey and Impact</h3>
Since 2015, Locus has been on a mission to make logistics decision-making intelligent, sustainable, and real-world ready. Our platform has powered billions of deliveries across 30 + countries for global enterprises, driving measurable impact in cost savings, carbon reduction, and SLA performance. With the strength of the IKEA ecosystem behind us, we&rsquo;re scaling that impact even further.<h3 class="jobSectionHeader">
Our Global Footprint</h3>
Headquartered in Bangalore, with teams across the U.S., U.K., UAE, and Southeast Asia, Locus brings together 170 + engineers, designers, and problem-solvers united by a single goal: to reinvent how the world moves goods.<h3 class="jobSectionHeader">
Traits We Value</h3>
We look for people who are:<ul><li>
Global in mindset: curious about diverse markets and ideas.</li><li><div> 
Unrelenting in drive: energized by complex challenges.</div></li><li><div> 
Intelligent in approach: analytical, creative, and thoughtful.</div></li><li><div> 
Dynamic in execution: adaptive and decisive in fast-moving contexts.</div></li><li> 
Exact in craft: detail-oriented and committed to excellence.</li></ul><h3 class="jobSectionHeader">
Role Overview</h3>
This role is a critical addition to our growing Data Science team, focusing on the exciting and nascent field of AI agents. The successful candidate will leverage their academic foundation and technical skills to support the entire lifecycle of agent development, from initial concept to deployment and monitoring. Crucially, they will be expected to rapidly learn the state-of-the-art and proactively surface knowledge we are currently missing, significantly contributing to the maturity of our agent-building capabilities.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Collaborate with senior Data Scientists to design, implement, and deploy AI agents using frameworks like LangChain.</li><li><div>
Focus on evaluating agent performance, identifying failure modes, and implementing iterative improvements, including robust prompt engineering and tool integration.</div></li><li><div>
Help establish best practices for agent deployment, monitoring, and scaling in a production environment, documenting all findings and emerging knowledge.</div></li><li>
Act as an internal resource to research and highlight current best practices, tooling, and critical knowledge gaps in the field of intelligent agent construction.</li></ul><h3 class="jobSectionHeader">
Ideal Candidate Profile</h3><ul><li>
A recent graduate or professional with 2-3 years of experience, ideally holding a degree in Computer Science, Data Science, or a related quantitative field.</li><li><div>
Must have strong foundational skills in Python programming, familiarity with Large Language Models (LLMs), and experience with a core data science stack (e.g., pandas, scikit-learn).</div></li><li><div>
Demonstrated passion for applied AI, evidenced by personal projects or academic work involving LLMs, RAG (Retrieval-Augmented Generation), or agentic systems.</div></li><li>
A curious, proactive individual who is eager to learn, challenge current assumptions, iterate fast and make incremental progress that compounds.</li></ul><h3 class="jobSectionHeader">
Why Join Us?</h3><div>
Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution.</div><div>
We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization.</div><div>
Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.</div></div></div>

AI Scientist

Southern Ohio Council of Governments

This job will be hybrid and serving the Gallia County and Meigs County areas. Travel to our office in Chillicothe will be required at least once per month.Requirements: Bachelor&rsquo;s degree in law enforcement, criminology, social work, or a related field. Eligible for Investigative Agent Certification through the Ohio Department of Developmental Disabilities. Ability to read, review, and analyze written material and data for compliance with local, state and Medicaid standards; Excellent communication and writing skills; Ability to work in a team-oriented environment; Experience in developmental disabilities field helpful; Must maintain a valid Ohio Driver's License and maintain a status of insurability for motor vehicle insurance; Reliable transportation a must.Duties:<ul><li>Investigate abuse, neglect, and MUI's per the procedures established by the SOCOG and the participating counties assigned.</li><li>Review all abuse, neglect, and MUI's submitted to SOCOG by member countries.</li><li>Travel to appropriate sites, conduct and/or coordinate investigations, review physical evidence, and interview witnesses.</li><li>Work jointly with law enforcement, Job and Family Services offices, County Board Service and Support Administrators and Prosecutors.</li><li>Maintain accurate case notes and Medicaid billing records.</li><li>Provide testimony, affidavits, depositions, and other supportive information and materials when appropriate.</li><li>Prepare cumulative reports for county boards and other involved agencies.</li><li>Assure compliance with DODD rules, local, state, and federal regulatory policies and procedures.</li><li>Provide technical assistance to member counties' staff, local agencies, etc. as requested.</li><li>Work as a team member to assure coordinated, effective relations between SOCOG staff, individuals, family members, providers, departments, and the SOCOG governing board.</li><li>Maintain and attitude and conduct of appropriate social and moral behavior as a public servant.</li><li>Understand and practice the professional code of ethics in keeping with confidentiality of information and materials with which he or she may come in contact.</li><li>Perform any other duties required.</li></ul>Other:<ul><li>Hourly rate, flexible hours based on operational need. On-call status: 24 hour, seven days per week</li><li>Bureau of Criminal Investigation background check and drug screen required upon offer of employment.</li><li>Duties may require working under hazardous and potentially violent, threatening, or psychically demanding conditions.</li></ul>Job Type: Full-timePay: $20.00 - $25.00 per hourBenefits:<ul><li>Dental insurance</li><li>Flexible schedule</li><li>Flexible spending account</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Retirement plan</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Can you pass a criminal background check and drug screening?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Work Location: Hybrid remote in Chillicothe, OH 45601

Investigative Agent

NTT DATA

<div>Company Overview: Req ID: 346629 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Agentic AI Engineer to join our team in Dallas, Texas. 
 
Job Description: 
 
Job Duties: In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support. 
 
What you'll do: 
<ul><li>Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.</li><li>Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.</li><li>Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.</li><li>Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.</li><li>Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.</li><li>Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.</li><li>Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.</li><li>Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns.</li></ul> 
Minimum Skills Required: 5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred. 3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows. Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution). Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).&quot; 
 
About NTT DATA: 
 
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com 
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. 
 
#LI-NorthAmerica</div>

Agentic AI Engineer

DraftKings

<div>At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It&rsquo;s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We&rsquo;re not waiting for the future to arrive. We&rsquo;re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.<h3 class="jobSectionHeader">
The Crown Is Yours</h3>
As a Senior Product Manager, AI CX Intelligence, you&rsquo;ll define how AI transforms the customer experience at DraftKings. You&rsquo;ll lead strategy and execution across agent tools, automation frameworks, and conversational systems that improve satisfaction and efficiency at scale. Partnering with Engineering, Data Science, and Operations, you&rsquo;ll build AI-powered solutions that support every stage of the customer journey from chatbots and copilots to orchestration logic and governance. You&rsquo;ll also mentor product managers and align intelligence efforts across Customer Support, Risk Management, and High Value Player Experience. 
<h3 class="jobSectionHeader">What you&rsquo;ll do as Senior Product Manager, AI CX Intelligence</h3><ul><li>
Define and drive the AI roadmap for Customer Platform, aligning product investments with customer needs and business goals</li><li>
Launch tools for customers, agents, and VIP hosts, including copilots, summarization features, and automations built with MCP, Agent to Agent, and n8n</li><li>
Translate user feedback, conversation data, and performance metrics into product opportunities that reduce friction and increase scale</li><li>
Set and monitor KPIs for resolution time, experience quality, automation rates, and agent productivity to inform iteration</li><li>
Ensure AI deployments meet DraftKings&rsquo; standards for privacy, transparency, and fairness through close collaboration with Legal, Compliance, and Security</li><li>
Mentor product managers to balance technical depth with customer empathy and operational execution</li><li>
Partner with AI Platform, Product, and Operations teams to align infrastructure, data strategy, and experience design</li></ul><h3 class="jobSectionHeader"> 
What you&rsquo;ll bring</h3><ul><li>
Bachelor&rsquo;s Degree in Computer Science, Marketing, Data Science, or any suitable combination of education, training, and experience</li><li>
At least 7 years of product management experience with a track record of delivering AI or data-driven products that improve customer or operational outcomes</li><li>
Expertise in customer-facing AI applications, including large language models, natural language processing, and agent assist tools</li><li>
Experience leading PMs and collaborating with cross-functional engineering and operations teams</li><li>
Proven ability to define metrics, assess impact, and iterate quickly based on data and feedback</li><li>
Strong communication and influence skills across technical and business audiences</li><li>
Experience with chatbot platforms, conversational AI, or customer support systems is a plus</li><li>
Familiarity with automation frameworks such as MCP, Agent to Agent, or n8n, and with contact center operations</li><li>
Understanding of human-in-the-loop systems, data governance, and AI evaluation practices</li></ul><h3 class="jobSectionHeader">
Join Our Team</h3>
We&rsquo;re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don&rsquo;t worry, we&rsquo;ll guide you through the process if this is relevant to your role.
The US base salary range for this full-time position is 136,000.00 USD - 170,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
We know finding a new job can be intimidating. Don't let imposter syndrome stop you from applying! Even if you don't think you tick off every box in this job description, we'd still love for you to apply or join our Talent Community.
DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.</div>

Senior Product Manager, CX AI Intelligence

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