artificial intelligence specialist

Booz Allen Hamilton

<div>The Opportunity:
Provides advisory services on current and emerging artifi cia l intelligence ( AI ) technologies to support organizational goals and strategy. Applies leading-edge principles, theories, and concepts, and contributes to the develop ment of new principles and concepts. Works on unusually complex problems and provides highly innovative solutions. Operates with substantial latitude for unreviewed action or decision, and mentors or supervises employees in both company and technical competencies.
You Have:
<ul><li>Experience with LLMs, search systems, or RAG architecture</li>
<li>Knowledge of AI / ML technologies, packages, and languages such as PyTorch, LangGraph, ClaudeCode, or MLFlow</li>
<li>Ability to quickly adapt to change and respond to shifting mission needs and technological advancement</li>
<li>TS/SCI clearance with a polygraph
</li><li>Bachelor's degree
</li></ul>Nice If You Have:
<ul><li>Experience with project or program management</li>
<li>Knowledge of sof tware develop ment best practices, knowledge management systems such as Jira or Confluence</li>
<li>Ability to envision, plan, and execute strategies to achieve organizational OKRs</li>
<li>Master's degree
</li></ul>Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .
Work Model
 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
<ul><li>Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
</li><li>Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
</li><li>Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
</li></ul>Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Artificial Intelligence Specialist

PCI Government Services LLC

<div><div>PCI Government Services is seeking candidates for a Digital Health and Artificial Intelligence Specialist. This is for a proposal, is hybrid, and reports to the Program Manager.</div>
<div></div><div>Responsibilities:</div>
<ul><li>Responsible for the technical content integrity of all AI, wearable technology, EHR integration, interoperability, and digital health infrastructure TA delivered under this contract.</li>
<li>Bridge clinical and technical domains</li>
<li>Translate complex AI and digital health concepts into accessible, actionable guidance for health center audiences.</li>
</ul>
<div> 
Qualifications:</div>
<ul><li>Master's degree in health informatics, biomedical informatics, computer science, digital health, or a closely related field. Relevant industry certifications, such as HIMSS Certified Associate in Healthcare Information and Management Systems (CAHIMS) or Certified Healthcare Technology Specialist (CHTS), may be considered in lieu of an advanced degree when combined with substantial relevant experience.</li>
<li>Minimum seven (7) years of experience in digital health, health informatics, or AI implementation in healthcare settings.</li>
<li>Demonstrated experience with EHR systems commonly used in health center settings, HL7/FHIR standards, and wearable device or PGHD integration.</li>
<li>Demonstrated knowledge of responsible AI principles, algorithmic bias mitigation, and AI governance frameworks in healthcare, consistent with the HHS AI Strategy.</li>
<li>Experience providing digital health or health IT technical assistance to safety net providers, federally qualified health centers, or underserved communities preferred.</li>
<li>Direct experience with Self-Measured Blood Pressure (SMBP), Continuous Glucose Monitor use for Type 2 Diabetes, and the incorporation of patient-generated health data from wearable devices into care.</li>
</ul>
<div>PCI Federal (PCIF) and its subsidiaries are an equal-opportunity employer. PCIF does not discriminate on the basis of age, sex, race, national origin, religion, marital status, sexual orientation or identity, Veterans or Disability status.
Preference may be extended to qualified Native American Indian candidates in accordance with applicable federal law.</div></div>

Digital Health and Artificial Intelligence Specialist

Reneco International Wildlife Consultants LTD

<div>
 
 RENECO's mission is to implement a global conservation strategy aiming to restore and preserve the Houbara bustard populations of North Africa (Chlamydotis undulata) and Asia (Chlamydotis macqueenii).
 
 
 
 
 
 To achieve these goals, RENECO has developed a multidisciplinary approach within different centers in Morocco, Central Asia, and the Arabian Peninsula by combining fundamental and applied research.
 
 
 
 
 
 To cope with the expansion of its activities and due to the development of new conservation projects, RENECO is opening new positions, giving a unique opportunity to be part of an ambitious conservation program.
 
 
 
 
 
 Reneco International Wildlife Consultants is seeking an
 
 AI &amp; Data Workflow Specialist
 
 to support the development and optimization of advanced data processing workflows across the organization.
 
 
 
 
 
 Working under the functional supervision of the Senior Database Manager, you will contribute to the integration of artificial intelligence, advanced analytics, and automation into our business processes. This role combines AI technologies, data science, workflow optimization, and user support to improve operational efficiency and enhance data-driven decision-making across conservation, ecology, veterinary, laboratory, and research activities.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyse existing business data workflows and integrate advanced AI and data processing solutions.
 </li>
 <li>
 Identify opportunities to optimize workflows by implementing cost-effective and innovative technologies.
 </li>
 <li>
 Monitor emerging AI technologies and recommend practical solutions aligned with business needs.
 </li>
 <li>
 Develop and maintain technical documentation, user guides, and activity reports.
 </li>
 <li>
 Deliver user training and provide ongoing support on AI tools, their capabilities, limitations, and business applications.
 </li>
 <li>
 Coordinate technical activities with external service providers and technology partners.
 </li>
 <li>
 Support the implementation of AI-driven solutions across multiple operational domains.
 </li>
 <li>
 Participate in international missions as required.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Master's degree (or equivalent) in Artificial Intelligence, Data Science, Computer Science, or a related field.
 </li>
 <li>
 Previous professional experience in AI, advanced data analysis, or a related technical role.
 </li>
 <li>
 Strong knowledge of AI technologies, including machine learning, automated recognition, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
 </li>
 <li>
 Proficiency in Python and R for data processing, analytics, and AI development.
 </li>
 <li>
 Experience working with SQL Server and T-SQL.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to improve complex business processes.
 </li>
 <li>
 Interest in applying AI solutions to scientific and operational environments such as conservation, ecology, laboratory, and veterinary activities.
 </li>
 <li>
 Ability to work independently while collaborating effectively with multidisciplinary teams.
 </li>
 <li>
 Willingness to travel internationally when required.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Business Intelligence platforms, preferably Tableau.
 </li>
 <li>
 Basic knowledge of system and network administration (Active Directory, IP, DNS).
 </li>
 <li>
 Familiarity with GIS software, particularly Esri ArcGIS Pro.
 </li>
 <li>
 Fluency in English is required.
 </li>
 <li>
 French, Arabic, Russian, Kazakh, or Uzbek language skills are considered an advantage.
 </li>
 </ul>
 
 
 
</div>

AI & Data Analysis Specialist

EFG Holding

<div>
 
 
 Purpose:
 
 
 
 
 
 
 Support the development, implementation, and maintenance of data science, artificial intelligence, and analytics solutions that enable data-driven decision-making and enhance operational efficiency across the Group.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ol>
 <li>
 Work with business stakeholders to understand business requirements and translate them into data-driven solutions, analytical models, and AI-powered products.
 </li>
 <li>
 Develop, implement, and maintain data science, machine learning, and artificial intelligence solutions, including predictive, forecasting, classification, clustering, and anomaly detection models, analytical tools, and business applications that support strategic and operational objectives.
 </li>
 <li>
 Analyse structured and unstructured data to identify trends, patterns, correlations, risks, and opportunities, and provide actionable insights and recommendations to relevant stakeholders.
 </li>
 <li>
 Apply statistical analysis, hypothesis testing, and experimentation techniques to evaluate business problems, validate assumptions, and support data-driven decision-making.
 </li>
 <li>
 Design, develop, and maintain data pipelines, datasets, and support data assets to ensure the availability, quality, integrity, and consistency of information used for analytical and AI solutions.
 </li>
 <li>
 Collaborate with technology and business teams to design, develop, deploy, monitor, and maintain data science solutions, ensuring effectiveness, scalability, and alignment with established technology, information security, and data governance standards.
 </li>
 <li>
 Evaluate the performance and effectiveness of analytical models and AI solutions, establish appropriate success measures, and implement enhancements where required.
 </li>
 <li>
 Research and evaluate emerging technologies, tools, and techniques in data science, artificial intelligence, machine learning, and advanced analytics, and recommend their adoption where appropriate.
 </li>
 <li>
 Ensure compliance with all applicable AML/CTF rules and regulations as required in the conduct of the role.
 </li>
 <li>
 Ensure timely completion of all relevant AML/CTF training provided by the Group.
 </li>
 <li>
 Ensure response to AML, CTF &amp; sanctions inquiries in a timely manner.
 </li>
 </ol>
 
 
 
 
 
 Job Requirements:
 
 
 
 
 
 <ol>
 <li>
 Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 0 &ndash; 2 years&rsquo; experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related disciplines.
 </li>
 <li>
 Strong knowledge of statistical analysis, machine learning techniques, predictive modelling, and data mining methodologies.
 </li>
 <li>
 Experience working with Python and relevant data science and machine learning frameworks.
 </li>
 <li>
 Experience working with cloud-based analytics and artificial intelligence platforms, including Azure AI Services or similar technologies.
 </li>
 <li>
 Experience in data preparation, feature engineering, data visualization, and exploratory data analysis.
 </li>
 <li>
 Familiarity with artificial intelligence technologies, including generative AI and large language models.
 </li>
 <li>
 Knowledge of relational and non-relational databases and data management principles.
 </li>
 <li>
 Understanding of software development, system integration, and deployment practices.
 </li>
 <li>
 Excellent communication skills (written, verbal, and listening).
 </li>
 <li>
 Good command of Arabic and English.
 </li>
 <li>
 Able to build partnerships and work well within a team.
 </li>
 <li>
 Ensure deliverables are always of a high quality.
 </li>
 <li>
 Able to prioritize and handle multiple assignments while meeting deadlines.
 </li>
 </ol>
 
 
 
 
 
 &ldquo;Thank you for your interest in applying to EFG Holding. Due to the high volume of applications/interest, please note that we are only able to respond directly to applicants that are shortlisted for interviews.&rdquo;
 
 
 
 
</div>

Corporate Data Scientist

LTC Solutions, LLC

<div>LTC Solutions, LLC is a small business with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients&rsquo; needs, we would like to meet you!

LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).

POSITION DESCRIPTION: AI Engineering Support 

Location: Pentagon, Arlington, VA (Hybrid)

Status: Contingent Hire &ndash; Full-Time &ndash; Hybrid

Clearance: Active Top Secret/SCI Clearance Required

MUST HAVE: Demonstrated experience supporting Department of Defense data engineering, business intelligence, data governance, automated data pipelines, and enterprise analytics supporting operational decision-making.

Position Summary

The AI Engineer / Research Analyst provides mid-level data engineering, business intelligence, and applied analytics support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&amp;L), and the Global Positioning Network (GPN) Program. Working in a hybrid capacity supporting the Pentagon, the position develops and maintains data extraction, transformation, validation, and integration processes that convert raw operational data into secure, authoritative datasets supporting advanced analytics and executive decision-making.

The AI Engineer supports enterprise data engineering activities by developing automated queries, reusable data pipelines, data quality processes, and business intelligence solutions while ensuring compliance with Department of War (DoW), U.S. Marine Corps (USMC), and Department of Defense cybersecurity, records management, and data governance requirements. Working under the direction of senior analytics leadership, the position supports the development of scalable data architectures that enable predictive analytics, dashboard development, artificial intelligence, and operational reporting.

The position collaborates with Headquarters Marine Corps organizations, Government data owners, system administrators, and analytics personnel to improve data accessibility, quality, security, and enterprise reporting capabilities.

Required Qualifications
<ul>
<li>U.S. Citizen with an Active Secret security clearance and ability to obtain a CAC card.</li>
<li>Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Data Engineering, Business Analytics, Mathematics, or a related discipline.</li>
<li>Four (4) to seven (7) years of experience supporting Department of Defense data engineering, business intelligence, database development, analytics, or enterprise information management.</li>
<li>Experience designing and developing automated data extraction, transformation, and loading (ETL/ELT) processes.</li>
<li>Experience writing complex SQL queries and developing reusable database scripts.</li>
<li>Experience using Python, SQL, and data transformation libraries for automation and data preparation.</li>
<li>Experience developing secure data pipelines and preparing authoritative datasets for reporting and analytics.</li>
<li>Experience supporting enterprise data governance, metadata management, and data quality initiatives.</li>
<li>Working knowledge of Department of Defense cybersecurity requirements, secure data handling procedures, and records management practices.</li>
<li>Experience supporting business intelligence environments using Power BI, Tableau, Microsoft Fabric, or similar reporting platforms.</li>
<li>Strong analytical, technical writing, communication, and organizational skills.</li>
</ul>
Preferred Qualifications
<ul>
<li>Master's degree in Data Science, Information Systems, Computer Science, Software Engineering, Business Analytics, or a related discipline.</li>
<li>Experience supporting Headquarters Marine Corps, Department of the Navy, Joint Staff, or other Department of Defense headquarters organizations.</li>
<li>Experience designing enterprise data warehouses, reporting architectures, or business intelligence platforms.</li>
<li>Experience with Azure Data Factory, Microsoft Fabric, Databricks, Snowflake, or equivalent enterprise data engineering platforms.</li>
<li>Experience supporting DevSecOps, CI/CD pipelines, Git, or Azure DevOps.</li>
<li>Familiarity with artificial intelligence and machine learning data preparation techniques.</li>
<li>Experience implementing enterprise data governance frameworks and data catalog solutions.</li>
<li>Knowledge of DoD Zero Trust Architecture, RMF, and cybersecurity compliance requirements.</li>
</ul>
Primary Duties
<ul>
<li>Develop and maintain automated data extraction, transformation, validation, and loading (ETL/ELT) processes supporting GPN analytics and enterprise reporting.</li>
<li>Create and optimize complex SQL queries, stored procedures, and reusable scripts that automate recurring data collection and reporting activities.</li>
<li>Develop secure, reusable data pipelines that prepare authoritative datasets for analytics, artificial intelligence, business intelligence, and executive reporting.</li>
<li>Validate, cleanse, normalize, and integrate structured and unstructured data from multiple Government information systems.</li>
<li>Implement enterprise data quality controls, validation routines, reconciliation processes, and metadata documentation to improve data integrity.</li>
<li>Support development and maintenance of enterprise business intelligence architectures, reporting databases, and visualization back-end environments.</li>
<li>Prepare datasets supporting predictive analytics, machine learning models, simulation activities, and operational research efforts performed by senior AI engineers and data scientists.</li>
<li>Collaborate with Government stakeholders to define data standards, business rules, data dictionaries, and governance policies.</li>
<li>Ensure compliance with Department of War (DoW), U.S. Marine Corps (USMC), Department of Defense cybersecurity policies, records management requirements, and enterprise data governance standards.</li>
<li>Document database structures, transformation logic, automated workflows, technical procedures, and data lineage supporting long-term sustainment.</li>
<li>Assist with troubleshooting data quality issues, system integration challenges, and reporting inconsistencies.</li>
<li>Support implementation of secure data architectures that improve availability, reliability, scalability, and performance of analytical systems.</li>
<li>Coordinate with AI Engineers, Data Analysts, Business Intelligence developers, Government personnel, and system administrators to support enterprise analytics initiatives.</li>
<li>Participate in configuration management, version control, testing, deployment, and continuous improvement of enterprise data engineering solutions.</li>
<li>Perform additional data engineering, business intelligence, analytics, automation, and governance duties necessary to accomplish contract requirements.</li>
</ul>
Preferred Technical Skills
<ul>
<li>Python</li>
<li>SQL</li>
<li>Power BI</li>
<li>Tableau</li>
<li>Microsoft Fabric</li>
<li>Azure Data Factory</li>
<li>Azure Synapse Analytics</li>
<li>Databricks</li>
<li>Snowflake</li>
<li>PostgreSQL</li>
<li>Microsoft SQL Server</li>
<li>Git</li>
<li>Azure DevOps</li>
<li>ETL/ELT Development</li>
<li>Data Warehousing</li>
<li>REST APIs</li>
<li>JSON/XML</li>
<li>Data Governance</li>
<li>Metadata Management</li>
<li>Data Lineage</li>
<li>RMF</li>
<li>Zero Trust Architecture</li>
</ul>
LTC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.</div>

AI Engineering Support US Citizens only, active TS/SCI clearance required

Jaarvis Technologies

Key Responsibilities<ul><li>Design, develop, train, and deploy AI and Machine Learning models for business applications.</li><li>Build and optimize data pipelines for data collection, preprocessing, and feature engineering.</li><li>Develop AI-powered applications using NLP, Computer Vision, Predictive Analytics, and Generative AI technologies.</li><li>Integrate AI solutions with enterprise applications, APIs, and cloud platforms.</li><li>Evaluate, monitor, and improve the performance and accuracy of AI models.</li><li>Collaborate with data scientists, software developers, and business stakeholders to translate business requirements into AI solutions.</li><li>Perform model testing, validation, deployment, and ongoing maintenance.</li><li>Work with structured and unstructured datasets to derive actionable insights.</li><li>Prepare technical documentation, model reports, and deployment guidelines.</li><li>Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Generative AI technologies.</li></ul>Required Qualifications<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>3&ndash;4 years of hands-on experience in AI/ML solution development and deployment.</li><li>Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or similar.</li><li>Experience with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), or Computer Vision.</li><li>Strong knowledge of SQL and NoSQL databases.</li><li>Experience with REST APIs, microservices, and cloud platforms (Azure, AWS, or Google Cloud).</li><li>Familiarity with MLOps, model deployment, Docker, and Git version control.</li><li>Strong analytical, problem-solving, and debugging skills.</li><li>Excellent communication and teamwork abilities.</li><li>Arabic speaking is mandatory. English communication skills are also required.</li></ul>Preferred Skills<ul><li>Experience with Azure AI Services, Azure OpenAI, AWS SageMaker, or Google Vertex AI.</li><li>Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering.</li><li>Experience with Power BI or Tableau for AI-driven analytics.</li><li>Familiarity with DevOps and CI/CD pipelines.</li><li>AI-related certifications are an added advantage.</li></ul>Pay: ﷼7,530.39 - ﷼19,466.35 per monthWork Location: In person

AI Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI Tools &amp; Enablement Specialist</h1>
Job Title: AI Tools &amp; Enablement Specialist 
Experience: 3&ndash;11+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced AI Tools &amp; Enablement Specialist with 3&ndash;11+ years of experience to drive the adoption, enablement, and operationalization of AI tools across business and technology teams. The ideal candidate will have hands-on experience with enterprise AI platforms, productivity AI tools, low-code automation platforms, data science environments, and API-based AI integrations. This role focuses on enabling teams to effectively leverage AI capabilities, build AI-powered solutions, and accelerate business transformation initiatives.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Enable enterprise adoption of AI tools and platforms across business functions.</li><li>
Evaluate, configure, and implement AI solutions aligned with organizational needs.</li><li>
Support AI experimentation, prototyping, and rapid solution development.</li><li>
Develop AI-enabled workflows, automation solutions, and productivity enhancements.</li><li>
Create enablement materials, best practices, and usage guidelines for AI platforms.</li><li>
Collaborate with business stakeholders, data teams, and engineering teams to identify AI opportunities.</li><li>
Configure and support enterprise AI assistants, AI copilots, and generative AI solutions.</li><li>
Integrate AI capabilities with enterprise applications using APIs and automation frameworks.</li><li>
Support governance, security, and responsible AI adoption practices.</li><li>
Monitor AI tool usage, adoption metrics, and business impact.</li><li>
Provide training and guidance to users on effective AI utilization.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
AI &amp; Data Science Platforms</h3><ul><li>
Hands-on experience with Dataiku or Databricks or Vertex AI Workbench for AI experimentation, analytics, and machine learning workflows.</li><li>
Experience supporting AI/ML development environments and collaborative data science platforms.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; AI Assistants</h3><ul><li>
Experience with Claude or ChatGPT Enterprise or Gemini for enterprise AI enablement and productivity use cases.</li><li>
Understanding of prompt engineering, AI assistants, and Generative AI adoption practices.</li><li>
Experience evaluating AI capabilities for business workflows.</li></ul><h3 class="jobSectionHeader">
Low-Code &amp; Automation Platforms</h3><ul><li>
Experience with Microsoft Power Platform or Appian for workflow automation, application development, and business process enablement.</li><li>
Ability to design AI-powered automation solutions using low-code platforms.</li></ul><h3 class="jobSectionHeader">
AI Integration &amp; APIs</h3><ul><li>
Experience integrating AI services using APIs.</li><li>
Understanding of REST APIs, authentication methods, and connecting AI capabilities with enterprise applications.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related field.</li><li>
3&ndash;11+ years of experience in AI enablement, automation, analytics, digital transformation, software development, or technology consulting.</li><li>
Strong understanding of AI concepts, Generative AI capabilities, and enterprise AI adoption.</li><li>
Excellent communication, training, and stakeholder management skills.</li><li>
Ability to translate business requirements into AI-driven solutions.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience implementing enterprise AI adoption programs.</li><li>
Knowledge of AI governance, security, and responsible AI practices.</li><li>
Experience working with cloud AI platforms such as AWS, Azure, or Google Cloud.</li><li>
Familiarity with automation workflows, process optimization, and digital transformation initiatives.</li><li>
Experience creating AI training programs and user enablement content.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
AI &amp; Data Platforms: Dataiku or Databricks or Vertex AI Workbench</li><li>
Generative AI Tools: Claude or ChatGPT Enterprise or Gemini</li><li>
Automation Platforms: Microsoft Power Platform or Appian</li><li>
Integration: APIs and REST-based AI service integrations</li><li>
AI Enablement: AI Adoption and User Training and AI Workflow Optimization</li><li>
Enterprise AI Practices: Responsible AI and Governance and Business Process Transformation</li></ul>
CdGObnJzLD</div>

AI Tools & Enablement Specialist

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