ai solutions architect

Genesys

<div></div><div><div><div><div><div><div>locations</div><div>
Dubai (Flexible)</div></div></div></div><div></div><div><div><div><div><div>
time type</div><div>
Full time</div></div></div></div><div></div><div><div><div><div>
posted on</div><div>
Posted 2 Days Ago</div></div></div></div><div></div><div><div><div><div>
job requisition id</div><div>
JR111883</div></div></div></div></div></div><div><div><p><b>
Be the one building AI-powered experiences where they matter most.</b></p><p><br>
At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.</p><p><br>
Help build, support and operate technology used by more than 8,000 organizations in over 100 countries &ndash; moving AI from possibility to production in real-world enterprise environments every day.</p><p><b><br>
Primary Mission</b></p><p>
Design and lead the implementation of AI-powered customer experience solutions that achieve business outcomes while ensuring technical excellence, scalability, security, and operational readiness.</p><p></p><p><b>
Key Responsibilities</b></p><p><b>
Solution Architecture</b></p><ul><li><p>
Define end-to-end AI solution architectures for customer programs.</p></li><li><p>
Design integrations between Genesys Cloud, AI services, enterprise applications, data platforms, and third-party technologies.</p></li><li><p>
Establish architectural standards for scalability, resilience, security, and maintainability.</p></li><li><p>
Review and approve technical designs produced by project teams.</p></li></ul><p></p><p><b>
Technical Leadership</b></p><ul><li><p>
Serve as the technical authority for assigned customer engagements.</p></li><li><p>
Guide consultants and implementation teams through complex technical challenges.</p></li><li><p>
Lead architecture workshops and technical design sessions with customers.</p></li><li><p>
Provide governance throughout delivery to ensure alignment with the approved architecture.</p></li></ul><p></p><p><b>
AI &amp; Data Design</b></p><ul><li><p>
Design AI use cases including virtual agents, agent copilots, knowledge systems, workflow automation, and analytics solutions.</p></li><li><p>
Define data requirements, integration patterns, and AI governance considerations.</p></li><li><p>
Ensure responsible AI practices are incorporated into solution designs.</p></li></ul><p></p><p><b>
Customer Engagement</b></p><ul><li><p>
Advise customer technical stakeholders on architecture decisions and trade-offs.</p></li><li><p>
Present technical recommendations to enterprise architects, IT leaders, and platform owners.</p></li><li><p>
Build trusted-advisor relationships with customer technical teams.</p></li></ul><p></p><p><b>
Practice Contribution</b></p><ul><li><p>
Contribute reusable assets, reference architectures, and best practices.</p></li><li><p>
Mentor consultants and senior consultants.</p></li><li><p>
Support presales activities for complex technical opportunities.</p></li></ul><p></p><p><b>
Typical Scope</b></p><ul><li><p>
Large customer implementation</p></li><li><p>
Single strategic program</p></li><li><p>
Technical lead for a major deployment</p></li><li><p>
Influences project and account-level decisions</p></li></ul><p></p><p><b>
Qualifications:</b></p><ul><li><p>
7+ years of experience in solution architecture, technical consulting, or enterprise software delivery, with at least 3 years focused on AI or conversational / CX platforms.</p></li><li><p>
Hands-on familiarity with Genesys Cloud or comparable CCaaS / CPaaS platforms, including routing, digital channels, and developer APIs.</p></li><li><p>
Proven track record designing and deploying AI-powered solutions &mdash; virtual agents, LLM-based copilots, knowledge management systems, or predictive analytics &mdash; in production environments.</p></li><li><p>
Solid understanding of cloud architecture patterns (AWS, GCP, or Azure) and integration technologies such as REST/GraphQL APIs, event streaming, and identity/security protocols.</p></li><li><p>
Experience leading architecture design sessions, producing technical documentation, and presenting to senior technical and non-technical stakeholders.</p></li><li><p>
Comfort operating in a global, matrixed professional services environment &mdash; managing scope, quality, and customer relationships simultaneously.</p></li><li><p>
Strong communication skills: able to translate complex technical concepts for business audiences and business requirements into precise architectural decisions.</p></li><li><p>
Familiarity with responsible AI principles, data governance, and security-by-design practices in enterprise contexts.</p></li><li><p>
Industry experience in telecommunications, financial services, or airlines is a plus.</p></li><li><p>
Fluency in English.</p></li><li><p>
Fluency in Arabic is preferred.</p></li></ul><p><b><br>
Working at Genesys</b></p><ul><li><b>
AI at enterprise scale</b> &ndash; Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.</li><li><b>
A flexible-first culture</b> &ndash; Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.</li><li><b>
Growth in the AI era</b> &ndash; Build future-ready skills through mentorship, learning programs, leadership development and education support.</li><li><b>
Time to recharge and give back</b> &ndash; Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.</li><li><b>
Recognized globally </b>&ndash; Genesys is Great Place to Work&reg; certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.</li></ul><p>
Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.</p><p><b><br>
What Happens After You Apply</b></p><p>
After you apply, here's what you can typically expect:</p><ul><li>
Our Talent Acquisition team reviews your application with the hiring team.</li><li>
A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
</li><li>Next, you'll meet the hiring manager and other members of the interview team.</li><li>
We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.</li><li>
After interviews are complete, our team will follow up with the final steps.</li></ul><p>
Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.</p><p><b><br>
Stay Connected</b></p><p>
Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.</p><p>
Get notified about relevant opportunities.</p><h1 class="jobSectionHeader"><b><br>
Be the one building what's next - where AI, experience and impact come together.</b></h1><p><b><br>
Employee Referral</b></p><p>
If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.</p><p><b><br>
About Genesys:</b></p><p>
Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.</p><p><b><br>
Reasonable Accommodations:</b></p><p>
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.</p><p><br>
You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.</p><p></p><p><br>
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response.</p><p><b><br>
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or </b><b>expression, marital</b><b> status, domestic partner </b><b>status, national</b><b> origin, genetics, </b><b>disability, military</b><b> and veteran status, and other protected characteristics.</b></p><p><i><br>
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.</i></p></div></div></div>

Lead AI Solutions Architect, Customer Success

Photon

<div><div><p><b>Job Summary:
</b></p><p>The <b>Agentic AI Architect / Technical Lead </b>will serve as the primary technical authority for designing and delivering large-scale Agentic AI solutions. This role acts as a critical bridge between product strategy, customer requirements, and engineering execution, requiring a strong blend of AI expertise, system architecture, and leadership skills.
</p><p>The Architect will be responsible for leading architecture definition, driving complex proof-of-concept initiatives, enabling multi-agent system design, and managing cross-functional engineering teams. The role demands deep experience in LLM ecosystems, cloud-native platforms, and scalable system design to deliver robust, production-grade AI platforms with measurable business outcomes.
</p><p><b>Key Responsibilities:
</b></p><p><b>Solution Architecture: </b>Lead the design and development of scalable, secure, and high-performance architectures for Agentic AI platforms using Python and modern frameworks
</p><p><b>Technical Standards &amp; Deliverables: </b>Define architecture patterns, engineering standards, and best practices for development, deployment, and system scalability
</p><p><b>Collaboration: </b>Work closely with product managers, engineering teams, DevOps, and QA to align technical solutions with business requirements and ensure seamless system integration
</p><p><b>Stakeholder Interaction: </b>Lead and execute technical POCs for Agentic AI solutions, working with customer stakeholders to define success criteria, build tailored agent configurations, and demonstrate business impact
</p><p><b>Agent Orchestration: </b>Architect and implement multi-agent workflows using frameworks such as LangGraph, AutoGen, or CrewAI, ensuring alignment with real-world use cases
</p><p><b>Platform Development: </b>Design and build resilient, scalable, multi-tenant AI platforms that support continuous innovation and production deployment
</p><p><b>Evaluation &amp; Benchmarking: </b>Own the design and implementation of LLM and agent evaluation frameworks, including metrics for accuracy, hallucination, safety, and performance
</p><p><b>Performance Optimization: </b>Optimize system architecture and infrastructure for scalability, latency, and cost-efficiency across AI workloads
</p><p><b>Best Practices: </b>Establish and enforce standards across MLOps, AIOps, CI/CD, model versioning, experimentation tracking, and system observability
</p><p><b>Leadership &amp; Mentorship: </b>Provide technical leadership, guide architectural decisions, and mentor engineering teams to ensure high-quality delivery
</p><p><b>Innovation &amp; Research: </b>Stay updated with advancements in AI, LLMs, and agentic frameworks, continuously improving system capabilities
</p><p><b>Documentation: </b>Create and maintain comprehensive architectural and technical documentation
</p><p><b>Required Skills &amp; Qualifications:
</b></p><ul><li><b>12+ years of experience </b>in software engineering with strong expertise in Python and backend system development
</li><li>Extensive experience in designing <b>scalable, secure, multi-tenant AI/ML platforms
</b></li><li>Deep expertise in <b>LLMs (OpenAI, Gemini, Anthropic, Llama) </b>and agentic AI systems
</li><li>Hands-on experience with <b>agent frameworks </b>such as AutoGen, CrewAI, LangGraph, and LangChain ecosystem (LangChain, LangSmith, LangFlow)
</li><li>Strong experience building <b>RAG-based systems </b>and working with vector databases
</li><li>Proficiency in <b>Python ecosystem </b>including PyTorch, Scikit-learn, LlamaIndex, and evaluation tools like DeepEval
</li><li>Deep understanding of <b>LLM concepts </b>(prompt engineering, fine-tuning, function/tool calling, RAG)
</li><li>Strong experience in <b>microservices architecture, REST APIs, and event-driven systems
</b></li><li>Expertise in <b>relational (PostgreSQL, MySQL) </b>and <b>NoSQL databases (MongoDB, Redis)
</b></li><li>Experience with <b>cloud platforms (AWS, Azure, GCP) </b>and cloud-native architectures
</li><li>Familiarity with <b>Docker, Kubernetes </b>, and modern DevOps practices
</li><li>Experience with <b>CI/CD pipelines </b>(Jenkins, GitLab CI, GitHub Actions)
</li><li>Strong exposure to <b>observability tools </b>for logging, monitoring, and tracing AI systems
</li><li>Strong understanding of <b>system design, scalability, and engineering best practices
</b></li><li>Proven ability to <b>lead architectural discussions, mentor teams, and engage with stakeholders and clients
</b></li></ul><p><b>Compensation, Benefits and Duration
</b></p><p>Minimum Compensation: USD 46,000
<br>
Maximum Compensation: USD 162,000
<br>
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
<br>
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
<br>
This position is not available for independent contractors
<br>
No applications will be considered if received more than 120 days after the date of this post.</p></div></div>

Technical Lead - Dallas, TX

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>JPMorgan Chase's Asset &amp; Wealth Management Finance organization is advancing the frontier of agentic AI, deploying digital workers that transform forecasting, analytics, and decision support. As Vice President, you will lead the design, deployment, and scaling of large language model (LLM) agents and AI-driven solutions, driving innovation and business impact across finance workflows. You will shape strategy, architect robust systems, and mentor teams to deliver trusted, actionable insights for complex financial questions.</p>
<p><b>Job responsibilities</b></p>
<ul><li>Define and execute the roadmap for agentic AI and digital worker solutions in Finance, aligning with business priorities and emerging technologies.</li>
<li>Identify and prioritize high-value use cases, translating ambiguous business challenges into measurable outcomes</li>
<li>Lead cross-functional teams, collaborating with Finance, Product, Engineering, and Operations to deliver scalable, production-grade AI solutions.</li>
<li>Architect, build, and scale LLM agents for finance workflows using advanced techniques such as LangGraph, retrieval augmented generation (RAG), multi-agent orchestration, tool use, and multi-step reasoning</li>
<li>Oversee the development of robust data and inference pipelines in Python and SQL; integrate agents with APIs, microservices, BI/reporting tools, and cloud platforms (AWS, Azure, GCP)</li>
<li>Leverage vector databases, embeddings, and distributed compute frameworks (e.g., Databricks, Snowflake, PySpark) for efficient retrieval and performance optimization.</li>
<li>Drive research and development initiatives, exploring Gen AI, Agentic AI, and autonomous workflow patterns.</li>
<li>Mentor and upskill teams; deliver enablement materials, documentation, and best practices for AI adoption.</li>
<li>Foster a culture of innovation, experimentation, and continuous improvement.</li>
<li>Translate model outputs into user-friendly insights and analytics for end users, enabling data-driven decision making.</li>
<li>Communicate complex technical concepts to senior stakeholders; deliver compelling data visualizations and narratives.</li>
</ul><p><b>Required qualifications, capabilities and skills</b></p>
<ul><li>8+ years in data/ML roles, including 4+ years building and operating production ML applications; hands‑on experience with LLMs.</li>
<li>Strong Python and SQL;
</li><li>Practical knowledge of RAG, prompt engineering, fine‑tuning, function/tool calling, and vector stores.</li>
<li>Experience with cloud platforms (e.g., AWS, Azure, or GCP) and modern data stacks (e.g., Databricks or Snowflake).</li>
<li>Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design.</li>
<li>Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact.</li>
<li>Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations.</li>
</ul><p><b>Preferred qualifications, capabilities and skills</b></p>
<ul><li>Experience building multi‑agent systems, autonomous workflows, or task planners.</li>
<li>Knowledge of model safety, bias, and privacy techniques; experience with model risk management and governance.</li>
<li>Exposure to observability tools (logging, tracing, telemetry) and A/B testing.</li>
<li>Background integrating agents with BI/reporting and workflow tools; familiarity with Tableau or similar is a plus.</li>
<li>Experience with GPUs/accelerators, containerization, and infrastructure‑as‑code.</li>
<li>Experience with PySpark or distributed compute.</li>
</ul><p><b>What success looks like</b></p>
<ul><li>90 days: deliver a pilot finance agent with RAG and evaluation metrics, integrated with key data sources and APIs.</li>
<li>6 months: scale agents across multiple workflows, establish guardrails and monitoring, and demonstrate clear improvements in cycle time, accuracy, or user satisfaction.</li>
</ul><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Vice President — Principal Applied AI Data Scientist

NVIDIA

<div>
 NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips. Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production &mdash; over 200 product SKUs were optimized during the Blackwell generation alone. Now we're rebuilding that toolchain around AI, and we're looking for the engineer to lead that charge. In this role, you will architect and implement solutions that enhance the efficiency, scalability, and intelligence of our workflows, driving initiatives from concept to deployment. If you combine deep technical expertise with a hands-on approach and an aim to push the boundaries of what's possible, this is your opportunity. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!
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 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   LLM-Powered Validation Pipelines: Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments. You're not maintaining what exists, you're building what comes next.
  </li>
  <li>
   Cross-Team AI Integration: Work directly with multi-functional engineering teams across the organization to identify where AI can eliminate friction, and then build the solution. Your output will be felt across teams, products, and generations of silicon.
  </li>
  <li>
   Technology Scouting &amp; Evaluation: Evaluate emerging AI frameworks and architectures before the rest of the industry catches on. Be the person who spots what's worth adopting, and makes the case for it.
  </li>
  <li>
   Impact Measurement &amp; Continuous Improvement: Build the data systems that prove what's working. Establish clear, quantitative indicators of AI impact, close performance gaps, and drive iteration across the org to turn insight into lasting improvement!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Need To See
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 5+ years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
  </li>
  <li>
   2+ years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end &mdash; from prototype through production deployment.
  </li>
  <li>
   Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala.
  </li>
  <li>
   Experience working within a silicon development environment, with exposure to chip and system characterization methodologies, process variation, statistical error rates, or advanced timing/power analysis.
  </li>
  <li>
   Hands-on experience with silicon bring-up, characterization, or lab debug using standard tools (e.g., oscilloscopes, multimeters, logic analyzers).
  </li>
  <li>
   Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
  </li>
  <li>
   Proven track record to balance multiple concurrent projects and apply excellent problem-solving, communication, and teamwork skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ways To Stand Out From The Crowd
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience debugging complex system-level issues involving HW/SW interactions, including leadership or ownership in driving root cause analysis of silicon or feature-level issues.
  </li>
  <li>
   Ability to translate innovative AI research into practical, high-impact production tools.
  </li>
  <li>
   Familiarity with modern AI technologies and methodologies for crafting and launching LLMs.
  </li>
  <li>
   Experience with building and deploying orchestration agents managing hundreds to thousands of tools.
  </li>
  <li>
   Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow, and hands-on experience with agentic and orchestration tools including NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.
   <br/>
   <br/>
  </li>
 </ul>
 Our team is at the forefront of silicon innovation, advancing groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered one of the technology industry&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
 <br/>
 <br/>
 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
 <br/>
 <br/>
 You will also be eligible for equity and benefits.
 <br/>
 <br/>
 Applications for this job will be accepted at least until August 1, 2026.
 <br/>
 <br/>
 This posting is for an existing vacancy.
 <br/>
 <br/>
 NVIDIA uses AI tools in its recruiting processes.
 <br/>
 <br/>
 NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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 , , JR2018179
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</div>


Applied AI Engineer

American business solutions inc

<div><h2 class="jobSectionHeader"><b>Required Skills</b></h2>
<p>Undergraduate degree in computer science, data science, artificial intelligence or related field required.</p>
<p>1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria</p>
<p>2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms</p>
<p>2 years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.</p>
<p>1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.</p>
<p>1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.</p>
<p>1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.</p>
<p>1 year of hands-on experience integrating AI capabilities with Azure and AWS.</p>
<h2 class="jobSectionHeader"><b>Preferred Skills</b></h2>
<p>Background in a variety of programming languages and principals.</p>
<p>Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.</p>
<p>Experience with data tools and techniques for storing, retrieving, and cleaning data.</p></div>

Generative AI Engineer(Local to SC)

Ahead

<div><div>AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.</div>
<div></div>
<div>At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.</div>
<div></div>
<div>We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.</div>
<div></div>
<div><b><i>We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.</i></b></div><div></div><div><div><br>
<p>
AHEAD builds AI-powered platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of AI digital transformation.</p>
</div>
<div><p>At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.</p>
</div>
<div><p>We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.</p>
</div>
<div><p>We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.</p>
</div>
<div><p>As a ServiceNow Principal Technical Consultant with a focus on AI and agentic capabilities, you will utilize your ServiceNow expertise and experience to architect, design, develop, and deploy AI-powered solutions on the ServiceNow platform &mdash; including Now Assist, AI Agents, Agentic AI Workflows, Predictive Intelligence, and GenAI-enabled process automation. You will drive a collaborative team leading, mentoring, and ensuring development efforts are well documented and delivered with quality, owning the overall outcome of your projects. The ServiceNow Principal Technical Consultant is an experienced subject matter expert and focuses on development and delivery of value-added integration and consultative services in the area of Enterprise AI solutions, designing, deploying, and integrating various product sets &mdash; with an emphasis on driving measurable business outcomes through intelligent automation. There is an expectation of at least 25% travel.</p>
</div>
</div><h3 class="jobSectionHeader"><b>Roles &amp; Responsibilities</b></h3><div>
<div>
<div><ul><li><p>Lead project teams to deploy AI and agentic solutions on the ServiceNow platform, including Now Assist, AI Agents, AI Control Tower and AI Agent Orchestration</p>
</li>
</ul></div><div><ul><li><p>Lead complex programs of multiple resources delivering AI-enabled ITSM, ITOM, CMDB/CSDM, HRSD, CSM, SecOps, and ITAM capabilities</p>
</li>
</ul></div><div><ul><li><p>Lead the architecture and design of complex AI/agentic solutions, including prompt design, skill configuration, and workflow orchestration across ServiceNow AI Experience</p>
</li>
</ul></div><div><ul><li><p>Lead the creation of written deliverables, including AI adoption roadmaps, use case business cases, and governance frameworks</p>
</li>
</ul></div><div><ul><li><p>Lead client demos and working sessions showcasing GenAI and agentic capabilities</p>
</li>
</ul></div><div><ul><li><p>Lead integration design sessions connecting ServiceNow AI capabilities with third-party LLMs, data sources, and enterprise systems</p>
</li>
</ul></div><div><ul><li><p>Lead client workshops as process, technical, and AI strategy expert</p>
</li>
</ul></div><div><ul><li><p>Serve as escalation point for project team on AI/agentic delivery matters</p>
</li>
</ul></div><div><ul><li><p>Work to influence team members, broader internal team, and external customers, likely including senior management, to agree and accept new AI-driven concepts, practices, and approaches</p>
</li>
</ul></div><div><ul><li><p>Obtain and maintain certifications with associated qualifications, including ServiceNow AI-focused credentials (e.g., Now Assist, Certified Application Developer with AI specialization)</p>
</li>
</ul></div><div><ul><li><p>Maintain expert-level certifications and stay current on ServiceNow's evolving AI/agentic product roadmap</p>
</li>
</ul></div><div><ul><li><p>Identify and communicate AI-driven opportunities across the client portfolio</p>
</li>
</ul></div><div><ul><li><p>Participate in pre-sales cycle as AI/agentic technical expert, scoping and positioning AI use cases</p>
</li>
</ul></div></div><div><div><ul><li><p>Provide thought leadership to AHEAD and our customers on AI adoption, governance, and ROI within ServiceNow</p>
</li>
</ul></div><div><ul><li><p>Communicate with external customers, which may include top management, on matters that require explanation, interpretation, and/or advising regarding AI capabilities and risk</p>
</li>
</ul></div><div><ul><li><p>Craft innovative and high-impact AI solutions for complex client programs, relying on large teams to implement</p>
</li>
</ul></div><div><ul><li><p>Contribute to projects/programs that may address future AI concepts, products, and technologies on the ServiceNow platform</p>
</li>
</ul></div><div><ul><li><p>Drive consensus with customers in solving complex AI/agentic solution design challenges</p>
</li>
</ul></div><div><ul><li><p>Establish and advise on AI governance, responsible AI use, data privacy, and model performance monitoring within ServiceNow deployments</p>
</li>
</ul></div></div></div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div>
<div>
<ul><li><p>Subject matter expert on the ServiceNow platform with demonstrated expertise in AI and agentic capabilities (Now Assist, AI Agents, Predictive Intelligence, Virtual Agent/NLU preferred)</p>
</li>
</ul></div><div><ul><li><p>Expert knowledge on at least two process areas within the ServiceNow platform, with applied AI/automation experience in at least one</p>
</li>
</ul></div><div><ul><li><p>Expert-level development skills on the ServiceNow platform, including scripting for AI Agent configuration, skill building, and workflow orchestration</p>
</li>
</ul></div><div><ul><li><p>Recognized expertise in AI/agentic solution design within the organization</p>
</li>
</ul></div><div><ul><li><p>Demonstrate deep expertise across multiple technologies, including GenAI/LLM concepts, prompt engineering, and AI governance frameworks</p>
</li>
</ul></div><div><ul><li><p>Able to articulate trade-offs between architecture approaches, including build-vs-configure decisions for AI capabilities and model/tooling selection</p>
</li>
</ul></div><div><ul><li><p>Strong skills integrating ServiceNow AI capabilities with third-party tools, LLMs, and data platforms</p>
</li>
</ul></div><div><ul><li><p>Strong presentation skills, particularly in communicating AI value and ROI to technical and executive audiences</p>
</li>
</ul></div><div><ul><li><p>Strong project and situational awareness</p>
</li>
</ul></div><div><ul><li><p>Strong communication skills</p>
</li>
</ul></div><div><ul><li><p>Strong attention to detail</p>
</li>
</ul></div><div><ul><li><p>Self-starter with a demonstrated interest in staying ahead of ServiceNow's AI/agentic product evolution</p>
</li>
</ul></div><div><ul><li><p>Able to travel as needed, up to 15%</p>
</li>
</ul></div></div><h3 class="jobSectionHeader"><b>Expectations</b></h3><div>
<div>
<ul><li><p>A lead contributor to their team and the organization as a whole, driving AI/agentic adoption</p>
</li>
</ul></div><div><ul><li><p>Bring thought leadership to our organization and our customers on AI within ServiceNow</p>
</li>
</ul></div><div><ul><li><p>Contribute to projects/programs that may address future AI concepts, products, and technologies</p>
</li>
</ul></div><div><ul><li><p>Coordinate cross-practice and contribute to cross-practice deliverables; help draft AI adoption standards and playbooks</p>
</li>
</ul></div><div><ul><li><p>Lead multiple resources when on a cross-practice AI/agentic project</p>
</li>
</ul></div><div><ul><li><p>Be an early adopter of new AI-related certifications</p>
</li>
</ul></div><div><ul><li><p>Utilized by pre-sales for AI opportunity identification, scoping, and positioning of services and products, including opportunities across practices, and engage pre-sales to begin new AI-focused campaigns that cross practices</p>
</li>
</ul></div><div><ul><li><p>Primary contributor to complex workshops that span multiple practice areas inside of AHEAD, with a focus on AI use case discovery</p>
</li>
</ul></div><div><ul><li><p>Be able to provide advanced data or situational analysis that requires the evaluation of intangibles, including AI readiness and change management considerations</p>
</li>
</ul></div><div><ul><li><p>Drive scoping, planning, and methodology for critical AI/agentic projects</p>
</li>
</ul></div><div><ul><li><p>Work on impactful and unique issues at the frontier of ServiceNow's AI capabilities</p>
</li>
</ul></div></div><div><i>The compensation range indicated in this posting reflects the On-Target Earnings (&ldquo;OTE&rdquo;) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate&rsquo;s relevant experience, qualifications, and geographic location.</i></div>
<div></div>
<div><b>Why AHEAD:</b></div>
<div></div>
<div>Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.</div>
<div></div>
<div>We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.</div>
<div></div>
<div><b>USA Employment Benefits include:</b></div>
<ul><li>Medical, Dental, and Vision Insurance</li></ul>
<ul><li>401(k)</li></ul>
<ul><li>Paid company holidays</li></ul>
<ul><li>Paid time off</li></ul>
<ul><li>Paid parental and caregiver leave</li></ul>
<ul><li>Plus more! See benefits https://www.aheadbenefits.com/ for additional details.</li></ul>
<div></div>
<div><b>Use of AI:</b></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.</div>
<div></div>
<div>If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com.</div>
<div></div>
<div>You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.</div>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

ServiceNow Principal Technical Consultant - AI

<div><div><div>AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.</div>
<div></div>
<div>At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.</div>
<div></div>
<div>We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.</div>
<div></div>
<div><b><i>We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.</i></b></div><div></div><div><div><br>
<p>
AHEAD builds AI-powered platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of AI digital transformation.</p>
</div>
<div><p>At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.</p>
</div>
<div><p>We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.</p>
</div>
<div><p>We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.</p>
</div>
<div><p>As a ServiceNow Principal Technical Consultant with a focus on AI and agentic capabilities, you will utilize your ServiceNow expertise and experience to architect, design, develop, and deploy AI-powered solutions on the ServiceNow platform &mdash; including Now Assist, AI Agents, Agentic AI Workflows, Predictive Intelligence, and GenAI-enabled process automation. You will drive a collaborative team leading, mentoring, and ensuring development efforts are well documented and delivered with quality, owning the overall outcome of your projects. The ServiceNow Principal Technical Consultant is an experienced subject matter expert and focuses on development and delivery of value-added integration and consultative services in the area of Enterprise AI solutions, designing, deploying, and integrating various product sets &mdash; with an emphasis on driving measurable business outcomes through intelligent automation. There is an expectation of at least 25% travel.</p>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Roles &amp; Responsibilities</b></h3><div><div><div>
<div>
<div><ul><li><p>Lead project teams to deploy AI and agentic solutions on the ServiceNow platform, including Now Assist, AI Agents, AI Control Tower and AI Agent Orchestration</p>
</li>
</ul></div><div><ul><li><p>Lead complex programs of multiple resources delivering AI-enabled ITSM, ITOM, CMDB/CSDM, HRSD, CSM, SecOps, and ITAM capabilities</p>
</li>
</ul></div><div><ul><li><p>Lead the architecture and design of complex AI/agentic solutions, including prompt design, skill configuration, and workflow orchestration across ServiceNow AI Experience</p>
</li>
</ul></div><div><ul><li><p>Lead the creation of written deliverables, including AI adoption roadmaps, use case business cases, and governance frameworks</p>
</li>
</ul></div><div><ul><li><p>Lead client demos and working sessions showcasing GenAI and agentic capabilities</p>
</li>
</ul></div><div><ul><li><p>Lead integration design sessions connecting ServiceNow AI capabilities with third-party LLMs, data sources, and enterprise systems</p>
</li>
</ul></div><div><ul><li><p>Lead client workshops as process, technical, and AI strategy expert</p>
</li>
</ul></div><div><ul><li><p>Serve as escalation point for project team on AI/agentic delivery matters</p>
</li>
</ul></div><div><ul><li><p>Work to influence team members, broader internal team, and external customers, likely including senior management, to agree and accept new AI-driven concepts, practices, and approaches</p>
</li>
</ul></div><div><ul><li><p>Obtain and maintain certifications with associated qualifications, including ServiceNow AI-focused credentials (e.g., Now Assist, Certified Application Developer with AI specialization)</p>
</li>
</ul></div><div><ul><li><p>Maintain expert-level certifications and stay current on ServiceNow's evolving AI/agentic product roadmap</p>
</li>
</ul></div><div><ul><li><p>Identify and communicate AI-driven opportunities across the client portfolio</p>
</li>
</ul></div><div><ul><li><p>Participate in pre-sales cycle as AI/agentic technical expert, scoping and positioning AI use cases</p>
</li>
</ul></div></div><div><div><ul><li><p>Provide thought leadership to AHEAD and our customers on AI adoption, governance, and ROI within ServiceNow</p>
</li>
</ul></div><div><ul><li><p>Communicate with external customers, which may include top management, on matters that require explanation, interpretation, and/or advising regarding AI capabilities and risk</p>
</li>
</ul></div><div><ul><li><p>Craft innovative and high-impact AI solutions for complex client programs, relying on large teams to implement</p>
</li>
</ul></div><div><ul><li><p>Contribute to projects/programs that may address future AI concepts, products, and technologies on the ServiceNow platform</p>
</li>
</ul></div><div><ul><li><p>Drive consensus with customers in solving complex AI/agentic solution design challenges</p>
</li>
</ul></div><div><ul><li><p>Establish and advise on AI governance, responsible AI use, data privacy, and model performance monitoring within ServiceNow deployments</p>
</li>
</ul></div></div></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><div><div><div>
<div>
<ul><li><p>Subject matter expert on the ServiceNow platform with demonstrated expertise in AI and agentic capabilities (Now Assist, AI Agents, Predictive Intelligence, Virtual Agent/NLU preferred)</p>
</li>
</ul></div><div><ul><li><p>Expert knowledge on at least two process areas within the ServiceNow platform, with applied AI/automation experience in at least one</p>
</li>
</ul></div><div><ul><li><p>Expert-level development skills on the ServiceNow platform, including scripting for AI Agent configuration, skill building, and workflow orchestration</p>
</li>
</ul></div><div><ul><li><p>Recognized expertise in AI/agentic solution design within the organization</p>
</li>
</ul></div><div><ul><li><p>Demonstrate deep expertise across multiple technologies, including GenAI/LLM concepts, prompt engineering, and AI governance frameworks</p>
</li>
</ul></div><div><ul><li><p>Able to articulate trade-offs between architecture approaches, including build-vs-configure decisions for AI capabilities and model/tooling selection</p>
</li>
</ul></div><div><ul><li><p>Strong skills integrating ServiceNow AI capabilities with third-party tools, LLMs, and data platforms</p>
</li>
</ul></div><div><ul><li><p>Strong presentation skills, particularly in communicating AI value and ROI to technical and executive audiences</p>
</li>
</ul></div><div><ul><li><p>Strong project and situational awareness</p>
</li>
</ul></div><div><ul><li><p>Strong communication skills</p>
</li>
</ul></div><div><ul><li><p>Strong attention to detail</p>
</li>
</ul></div><div><ul><li><p>Self-starter with a demonstrated interest in staying ahead of ServiceNow's AI/agentic product evolution</p>
</li>
</ul></div><div><ul><li><p>Able to travel as needed, up to 15%</p>
</li>
</ul></div></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Expectations</b></h3><div><div><div>
<div>
<ul><li><p>A lead contributor to their team and the organization as a whole, driving AI/agentic adoption</p>
</li>
</ul></div><div><ul><li><p>Bring thought leadership to our organization and our customers on AI within ServiceNow</p>
</li>
</ul></div><div><ul><li><p>Contribute to projects/programs that may address future AI concepts, products, and technologies</p>
</li>
</ul></div><div><ul><li><p>Coordinate cross-practice and contribute to cross-practice deliverables; help draft AI adoption standards and playbooks</p>
</li>
</ul></div><div><ul><li><p>Lead multiple resources when on a cross-practice AI/agentic project</p>
</li>
</ul></div><div><ul><li><p>Be an early adopter of new AI-related certifications</p>
</li>
</ul></div><div><ul><li><p>Utilized by pre-sales for AI opportunity identification, scoping, and positioning of services and products, including opportunities across practices, and engage pre-sales to begin new AI-focused campaigns that cross practices</p>
</li>
</ul></div><div><ul><li><p>Primary contributor to complex workshops that span multiple practice areas inside of AHEAD, with a focus on AI use case discovery</p>
</li>
</ul></div><div><ul><li><p>Be able to provide advanced data or situational analysis that requires the evaluation of intangibles, including AI readiness and change management considerations</p>
</li>
</ul></div><div><ul><li><p>Drive scoping, planning, and methodology for critical AI/agentic projects</p>
</li>
</ul></div><div><ul><li><p>Work on impactful and unique issues at the frontier of ServiceNow's AI capabilities</p>
</li>
</ul></div></div></div></div></div></div><div><div>$160,000 - $190,000 a year</div></div>
<div><div><i>The compensation range indicated in this posting reflects the On-Target Earnings (&ldquo;OTE&rdquo;) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate&rsquo;s relevant experience, qualifications, and geographic location.</i></div>
<div></div>
<div><b>Why AHEAD:</b></div>
<div></div>
<div>Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.</div>
<div></div>
<div>We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.</div>
<div></div>
<div><b>USA Employment Benefits include:</b></div>
<ul><li>Medical, Dental, and Vision Insurance</li></ul>
<ul><li>401(k)</li></ul>
<ul><li>Paid company holidays</li></ul>
<ul><li>Paid time off</li></ul>
<ul><li>Paid parental and caregiver leave</li></ul>
<ul><li>Plus more! See benefits https://www.aheadbenefits.com/ for additional details.</li></ul>
<div></div>
<div><b>Use of AI:</b></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.</div>
<div></div>
<div>If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at [email protected].</div>
<div></div>
<div>You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.</div>
</div></div><div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

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