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artificial intelligence ai solutions engineer

Cooley LLP

<div>Cooley is seeking an Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer to join the Practice Engineering team within the Innovation department.
Position summary: As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, under the direction of the Manager of Product Engineering, and collaborating directly with practitioners, technical teams, and innovation stakeholders, the Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer leads process automation initiatives by driving prototype-based discovery and building functional workflow demonstrations that validate repeatable, end-to-end processes&mdash;from defined inputs through tool orchestration to outputs that meet specified acceptance criteria. This includes developing multi-step automations that combine deterministic scripting with AI workflows, including advanced prompting, retrieval-augmented generation (RAG), and agentic techniques. This role partners across multiple domains including Practice Innovation, Knowledge Management, Software Engineering, as well as resource attorneys and other practitioners across a range of offices and practice areas. Specific duties and responsibilities include, but are not limited to, the following:
Position responsibilities:<ul><li>
Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems</li><li>
Elicit attorney/practitioner requirements, map end-to-end process steps, define decision points and failure modes, and produce clear acceptance criteria and test cases that make the workflow measurable and reviewable</li><li>
Rapidly build and iterate working proofs-of-concept that validate feasibility of repeatable processes, combining deterministic logic (rules/scripting) with AI steps (prompting, retrieval, tool-use/agents) to produce usable outputs aligned to acceptance criteria</li><li>
Working with Knowledge Management and practitioners, create/maintain the workflow&rsquo;s &ldquo;source of truth&rdquo; (playbooks, templates, matter-type guidance, clause libraries, FAQs), implement retrieval strategies and citation/traceability expectations, and partner with attorneys to ensure substantive content accuracy and ongoing governance of knowledge updates</li><li>
Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings</li><li>
Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making</li><li>
Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate</li><li>
Coordinate training, support, documentation and resource material in support of processes and systems</li><li>
Engage with end-users to gather feedback, observe and map routines and processes</li><li>
Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures</li><li>
All other duties as assigned or required</li></ul>
Skills and experience:
Required:<ul><li>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</li><li>
Ability to work extended and/or weekend hours, as required</li><li>
Ability to travel, as required</li><li>
3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)</li><li>
Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI</li><li>
Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools</li><li>
Experience designing and implementing retrieval-grounded generation in permissioned environments</li><li>
Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.</li></ul>
Preferred:<ul><li>
Bachelor&rsquo;s degree</li><li>
Working knowledge of business analysis, knowledge management, information systems or other-related field</li><li>
Experience working in professional services, or a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys</li><li>
Knowledge of legal concepts related to the business of the firm and the legal industry</li><li>
Familiarity with agile development methodologies</li><li>
Experience engaging with end-users to gather feedback, observe and map routines and processes</li><li>
Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations</li><li>
Excellent attention to detail</li><li>
Excellent analytical skills</li><li>
Excellent time management and project management skills, with ability to work independently to meet objectives and deadlines</li><li>
Ability to work as a member of a client-service oriented team in a professional, approachable manner</li><li>
Strong customer focus, with an emphasis on efficient and effective communications</li><li>
Solid relationship management, presentation and collaboration skills</li><li>
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data</li><li>
Ability to work independently and take initiative while ensuring compliance with team standards in development, delivery and support of business systems</li><li>
Entrepreneurial by nature</li><li>
Ability to organize, prioritize and coordinate multiple activities often under tight timelines</li><li>
Ability to drive projects to completion and achieve goals</li><li>
Team-player with collaborative spirit</li></ul>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.
EOE.
The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.
We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&amp;D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&amp;D, LTD, short term medical benefits as well as 21 days of Paid Time Off (&ldquo;PTO&rdquo;) and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.</div>

Artificial Intelligence (“AI”) Solutions Engineer

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

ML Engineer

JPMorganChase

<div>JOB DESCRIPTION 
The Chief Data and Analytics Office is responsible for accelerating the firm's data and analytics journey. Our team ensures the quality, integrity, and security of enterprise data while leveraging it to generate insights and drive smarter decision-making. We are at the forefront of shaping how artificial intelligence and data products are governed, built, and scaled across a complex global organization. Join us and help define the data and AI agenda for one of the world's largest financial institutions.
As a Data Strategy and AI Solutions Vice President in the Chief Data and Analytics Office, you will drive the strategic direction of data and artificial intelligence initiatives across the organization. You will partner with stakeholders in compliance, legal, government relations, technology, and cybersecurity to navigate the evolving landscape for data and AI. Your work will directly shape AI and Agent Native data strategy. This is an opportunity to influence enterprise-wide strategy at the intersection of data and AI, with significant visibility across senior leadership.
Job responsibilities:<ul><li>
Define and document stakeholder requirements for data and artificial intelligence strategy, translating business needs into actionable plans.
</li><li>Partner with compliance, legal, government relations, technology, and cybersecurity teams.</li><li>
Develop business and product requirements for engineering teams, ensuring clarity and alignment with strategic objectives. Ensure software built meets those requirements.</li><li>
Test LLM and agent outputs for accuracy.</li><li>
Design LLM and agent &ldquo;as judge&rdquo; tests for outputs.</li><li>
Work with LLMs and agents to create data artifacts.
</li><li>Promote and strengthen awareness of data culture and best practices across the organization.</li></ul>
Required qualifications, capabilities, and skills:<ul><li>
Bachelor's degree in Finance, Data Science, Technology, or a related field.</li><li>
6 + years of experience in finance, operations, data, or technology within a leading financial institution or similarly complex organization.</li><li>
Demonstrated experience working with artificial intelligence tools, frameworks, and initiatives in a professional setting.</li><li>
Clear and concise written and verbal communication skills, with the ability to tailor messaging to various levels of management.</li><li>
Proven ability to collaborate across multiple lines of business and functions in a matrixed environment.</li><li>
Strong analytical and problem-solving skills with the ability to synthesize complex information into strategic recommendations.</li><li>
Excellent time management and organizational skills, with the ability to manage competing priorities.</li><li>
Advanced proficiency in Excel and PowerPoint for data analysis and executive presentations.</li><li>
Strong interpersonal and relationship-building skills, with the flexibility to engage across functions, locations, and businesses.
</li><li>Familiarity with agile project management tools such as Jira.</li><li>
Experience with modern AI tooling and LLMs.</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience testing AI outputs for accuracy.</li><li>
Experience translating technical AI or data science concepts for non-technical business audiences.</li><li>
Familiar with semantics and the creation of semantic layers for data.
</li><li>Familiar with industry data vocabularies, such as DCAT.
</li><li>Comfortable giving live presentations in multiple forums.
</li><li>Experience training new users on functionality and creating written guidelines.
</li></ul>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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><div>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.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Data Strategy and AI Solutions - Vice President

Genpact

<div><div><div>Ready to build the future with AI? 
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.</div><div>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.</div><div>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 
 
Inviting applications for the role of Consultant - Artificial Intelligence Developer 
In this role, you will be responsible for creating cutting-edge artificial intelligence solutions that possess a broad understanding of diverse tasks and domains. You will contribute to the development of intelligent systems capable of adapting and learning across a wide range of applications. 
 
Responsibilities 
<ul><li>Build agents/components that reason, plan and act.</li><li>Implement frameworks, develop memory and tool-use capabilities, collaborate with prompt engineers</li><li>Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly.</li><li>Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set.</li><li>Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data.</li><li>Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI's applicability in diverse real-world scenarios.</li><li>Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes.</li><li>Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments.</li><li>Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI.</li><li>Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.</li><li>Verifying data quality, and/or ensuring it via data cleaning</li><li>Defining validation strategies &amp; data augmentation pipelines</li><li>Designing, developing, and researching Machine Learning systems, models, and schemes</li><li>Good working knowledge on deep learning and advanced NLP techniques</li><li>Analyzing the use cases of ML algorithms and ranking them by their success probability</li><li>Should be excellent with Rasa Framework or any other chatbot interface.</li><li>Performing statistical analysis and using results to improve models.</li><li>Training and retraining ML systems and models in real-world situations</li><li>Visualizing data for deeper insights</li><li>Hands-On with Service / Incident Management tools: JIRA / ServiceNow</li><li>Knowledge and experience with Software Version Control systems: GIT, SVN etc.</li></ul></div><div>
Qualification 
(Minimum Qualification) 
<ul><li>BE/B Tech/MCA</li><li>Excellent written and verbal communication skills</li><li>Basic understanding of Investment Management/financial services domain knowledge</li></ul></div><div>
Preferred Qualifications/Skill 
<ul><li>Create comprehensive documentation of algorithms, models, and methodologies, and actively contribute to knowledge transfer within the team to foster a collaborative and learning-oriented environment.</li><li>Demonstrated expertise in artificial intelligence, machine learning, and deep learning.</li><li>Strong programming skills, preferably in Python, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch)</li><li>Experience with reinforcement learning and transfer learning in the context of General AI.</li><li>Knowledge of cognitive science principles and their application to AI development Skill Set</li><li>Machine learning</li><li>NLP and Advanced NLP</li><li>Public</li><li>Deep Learning (CNN,ANN,RNN)</li><li>Rasa</li><li>Pandas, sql</li><li>Python</li><li>Django, Flask</li><li>Tensorflow</li><li>Keras</li><li>Chatbot Development</li><li>Agile</li><li>AWS</li><li>GIT</li></ul></div><div>
Why join Genpact? 
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. 
Let&rsquo;s build tomorrow together. 
The approximate annual base compensation range for this position is $60000 to $75000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant&rsquo;s experience, knowledge, skills, and abilities; geographic location; and internal equity 
<ul><li>Work-from-Anywhere Roles &ndash; &ldquo;Los Angeles California-based candidates are not eligible for this role&rdquo;</li><li>Location-based Roles (e.g., Richardson roles &ndash; metro area can be adjusted by role location) &ndash; &ldquo;Los Angeles, California based candidates are not eligible for this role. &lt;Dallas Metro&gt; area candidates are eligible for this role only.&rdquo;</li></ul></div><div> 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. 
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div> 
JobConsultant
Primary LocationUSA-New York
ScheduleFull-time
Education LevelBachelor's / Graduation / Equivalent
Job PostingApr 13, 2026, 9:02:35 AM
Unposting DateOngoing
Master Skills ListConsulting
Job CategoryFull Time</div>

Consultant - Artificial Intelligence Developer

<div>JOB DESCRIPTION 
The Chief Data Office is responsible for maximizing the value and impact of data globally in a highly governed way. Our teams accelerate the organization's data, analytics, and artificial intelligence journey, spanning data strategy, impact optimization, privacy, governance, transformation, and talent. We are looking for a data executive to help shape the strategy for how we make data available to power everything from new product development to artificial intelligence models. This leader will join the team responsible for setting the enterprise data publishing strategy and driving its adoption across the organization.
As an Executive Director, AI Data Strategy in the Chief Data Office, you will be instrumental in shaping the organization's knowledge representation and data foundations for artificial intelligence. Your role will involve utilizing ontologies and taxonomies to enhance data interoperability and management, preparing enterprise data for AI applications at scale. Your responsibilities will range from engaging with and educating domain experts to assessing standard ontologies and developing an organization-wide ontology framework. Your work will traverse multiple domains, influencing teams across data and analytics, product, and technology.
Job responsibilities<ul><li>
Drive the development and adoption of the enterprise AI data strategy, aligning stakeholders across business lines and functions.</li><li>
Evaluate industry standards and semantic technologies for adoption across the organization, ensuring alignment with strategic objectives.</li><li>
Collaborate with stakeholders, subject matter experts, product owners, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.</li><li>
Provide expert input into the enterprise data strategy, with a focus on knowledge representation, ontology design, and data readiness for AI.</li><li>
Communicate complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples, asking clarifying questions to define core meanings.</li><li>
Monitor emerging trends and advancements in ontology engineering, knowledge representation, and semantic technologies, translating insights into strategic recommendations.</li><li>
Balance timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.</li><li>
Ensure end-to-end relevance to stakeholder needs, from gathering competency questions through to achieving successful integrations.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
PhD in Artificial Intelligence, Computer Science, Information Science, Knowledge Representation, or a related field.</li><li>
10 years of experience developing enterprise-wide data or AI strategy for large, complex organizations.</li><li>
Expertise in data and financial service standards such as ISO 20022, and semantic technologies including OWL, RDF, SKOS, and SHACL.</li><li>
Structured thinker and effective communicator with excellent written and verbal communication skills, with the ability to articulate complex technical concepts to senior audiences with poise and confidence.</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience applying financial sector ontologies and data standards in production or enterprise environments.</li><li>
Experience with program management and collaborative development best practices in large-scale initiatives.</li><li>
Understanding of large-scale, distributed, end-to-end data systems and architectures.</li><li>
Knowledge of data governance and data management frameworks and their intersection with AI readiness.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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><div>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.
<div>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Executive Director-Firmwide AI Data Strategy

Sigma Computing

<div><h3 class="jobSectionHeader">About the Role</h3>

We are hiring a Senior, hands-on Cloud Security Engineer to secure a large-scale, cloud-native SaaS platform. This is an engineering-first role for someone who builds security solutions&mdash;not just manages tools.

You will be a SME for cloud security architecture across platform, IAM, network, workload, data, and AI enablement, and partner with Engineering, Security, and Product to implement scalable controls that support business growth. You'll design secure architectures, embed controls into infrastructure-as-code, and build automated guardrails so teams can move fast without waiting on manual security approvals.

We're looking for a builder-defender who thrives in complex cloud environments, automates aggressively (&quot;let the robots do the work&quot;), and can scale cloud security for a fast-moving SaaS company.
<h3 class="jobSectionHeader">
What You'll Do</h3>
<ul><li>Architectural Leadership: Partner deeply with infrastructure and engineering teams to embed security into development workflows, leading high-level technical discussions to guide security efforts and strategic priorities.</li>
<li>Multi-Cloud Engineering: Design, implement, and continuously improve Sigma Cloud Security across AWS, GCP, and Azure environments with architect-level technical depth.</li>
<li>Threat Modeling &amp; IR: Conduct cloud threat modeling and demonstrate hands-on experience in Cloud Incident Response, including investigating and remediating malicious activity within cloud environments.</li>
<li>Identity &amp; Access: Build IAM and privileged access strategy (RBAC/ABAC, federation, least privilege, cross-account access), eliminating standing privilege and long-lived credentials. Develop and enforce IAM best practices, including zero-trust models and privileged access controls across IaaS and SaaS.</li>
<li>Drive cloud data security controls including classification, encryption/KMS, masking/tokenization, access governance, retention/deletion, and exfiltration risk reduction across APIs and data pipelines.</li>
<li>Develop automated remediation workflows for recurring cloud misconfigurations, drift, and policy violations to reduce manual effort and response time.</li>
<li>Security Stack Management: Deploy and manage cloud-native services (CSPM, CNAPP, DSPM, SIEM, DLP, WAF, Kubernetes, and container security).</li>
<li>Network Defense: Review and apply zero-trust principles through strict network segmentation, authentication, and authorization.</li>
<li>Automation: Develop sophisticated signatures/rules for cloud security and automate detection and response workflows.</li>
<li>AI : Use AI securely and effectively to scale security practices and improve team efficiency.</li>
<li>Continuous Evolution: Stay ahead of threats by leveraging intelligence, attack simulation, and red/blue team learnings.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For</h3>
<ul><li>Minimum 7+ years in Security roles with at least 5+ years focused on Cloud security engineering,IAM, and Data security</li>
<li>Bachelor's or Master's degree in Computer Science, Cyber Security, or a related field.</li>
<li>Deep technical expertise in cloud architectures AWS/Azure/GCP; including IAM, networking (VPCs, security groups, PrivateLink), and native security services is strongly desired.</li>
<li>Strong infrastructure-as-code skills&mdash;you write Terraform professionally, not just read it.</li>
<li>Advanced understanding and experience with container security, Kubernetes, and secure CI/CD pipeline design</li>
<li>Proven ability to demonstrate incident response experience specifically related to cloud-based malicious activity and breach remediation.</li>
<li>Advanced Cloud IAM expertise: federation, SSO, PAM/JIT access, service identities, and least privilege design.</li>
<li>Strong background in cloud network security (segmentation, private connectivity, egress controls, WAF).</li>
<li>Strong proficiency in scripting languages (e.g., Python, Go, PowerShell) for automation, data analysis, and security tooling development.</li>
<li>Strong knowledge of security platforms such as CNAPP (Wiz), WAF (Cloudflare), SASE (Netskope)</li>
<li>Demonstrated ability to lead cloud/saas architecture reviews and influence senior engineering stakeholders.</li>
<li>Experience securing data platforms (nice to have) - Snowflake, Databricks, BigQuery etc.</li>
<li>Experience in high-growth SaaS or data platforms Organizations (nice-to have)</li>
<li>Prior experience in Platform Engineering, DevSecops or similar (nice-to have)</li>
<li>Certifications (Preferred): Professional-level cloud certifications are required, such as:</li>
<li><ul><li>AWS: Certified Security &ndash; Specialty or Solutions Architect &ndash; Professional.</li>
<li>GCP: Professional Cloud Security Engineer or Professional Cloud Architect.</li>
<li>Azure: AZ-500 (Security Technologies) or AZ-305 (Solutions Architect).</li>
</ul></li>
</ul>Why Sigma?

At Sigma, security is at the core of our mission. We power insights and innovation for our customers, and protecting their data is our highest priority. As a Senior Security Engineer, you will have the autonomy to shape our Security Engineering strategy, access to cutting-edge technologies, and the opportunity to solve real problems at scale.

Join us and be part of a security team that values collaboration, innovation, and resilience&mdash;while giving you the room to grow, lead, and leave your mark on Sigma's security journey.

Additional Job details

The base salary range for this position is $210k - $240k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.<div><h4 class="jobSectionHeader">
About us:</h4>

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth.
Come join us!
<h4 class="jobSectionHeader">
Benefits For Our Full-Time Employees:</h4>
<ul><li>Equity
</li><li>Generous health benefits</li>
<li>Flexible time off policy. Take the time off you need!</li>
<li>Paid bonding time for all new parents</li>
<li>Traditional and Roth 401k</li>
<li>Commuter and FSA benefits</li>
<li>Lunch Program</li>
<li>Dog friendly office</li>
</ul>
Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).

Sigma's use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.</div></div>

Senior Security Engineer II – Cloud & Data Security

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