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><b>Responsibilities</b>:</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><br>
<b>Qualifications</b>:</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><p><i>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.</i></p>
<p><i>Preference may be extended to qualified Native American Indian candidates in accordance with applicable federal law.</i></p></div></div>

Digital Health and Artificial Intelligence Specialist

atmaal

<div>
 <p>
  AI &amp; Advanced Analytics Specialist .
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities:
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Collaborate with business stakeholders to translate strategic objectives into data-driven solutions and advanced analytics use cases.
 </p>
 <p>
  &bull; Design and develop predictive models including forecasting, classification, regression, and customer segmentation.
 </p>
 <p>
  &bull; Apply machine learning and optimization techniques to generate actionable business recommendations.
 </p>
 <p>
  &bull; Utilize Natural Language Processing (NLP) techniques for sentiment analysis, text classification, and information extraction from unstructured data.
 </p>
 <p>
  &bull; Conduct exploratory data analysis to identify trends, anomalies, and opportunities for business improvement.
 </p>
 <p>
  &bull; Leverage Generative AI capabilities for intelligent automation, content summarization, code generation, and insight extraction.
 </p>
 <p>
  &bull; Develop and deploy analytical solutions using modern cloud-based platforms and AI services.
 </p>
 <p>
  &bull; Build interactive dashboards and visualizations that effectively communicate insights to both technical and non-technical stakeholders.
 </p>
 <p>
  &bull; Monitor, validate, and continuously improve analytical models to ensure performance and reliability.
 </p>
 <p>
  &bull; Maintain proper documentation, methodology standards, and reproducible analytics workflows.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Requirements:
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
 </p>
 <p>
  &bull; 3&ndash;4 years of experience in Data Science, Advanced Analytics, Machine Learning, or Artificial Intelligence.
 </p>
 <p>
  &bull; Strong proficiency in Python.
 </p>
 <p>
  &bull; Hands-on experience with Power BI.
 </p>
 <p>
  &bull; Experience with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and Google Cloud Storage.
 </p>
 <p>
  &bull; Practical experience in Machine Learning, Predictive Analytics, and NLP.
 </p>
 <p>
  &bull; Exposure to Generative AI technologies and Large Language Models (LLMs) is highly preferred.
 </p>
 <p>
  &bull; Strong analytical, problem-solving, and stakeholder management skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Preferred Language Level:
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Professional working proficiency in English (written and verbal).
 </p>
</div>


AI & Advanced Analytic Specialist

MOHR Talent

<div>
 AI Data Specialist
 <p>
  <strong>
   Compensation:
  </strong>
  $100,000 &ndash; $125,000 Base Salary
  <br/>
  <strong>
   Location
  </strong>
  : Wall, NJ
 </p>
 Position Overview
 <p>
  A growing organization is seeking an analytical and collaborative AI Data Specialist to partner across all business functions to identify opportunities where artificial intelligence, automation, and data analytics can improve operational efficiency and business performance. This individual will serve as the bridge between business challenges and technology solutions, helping design scalable processes, automate workflows, and deliver meaningful business insights through data.
 </p>
 <p>
  The ideal candidate is naturally curious, business-minded, and technology-focused, with experience translating operational needs into practical AI-driven solutions. This role will work closely with leadership across Sales, Operations, Finance, Marketing, Manufacturing, Customer Success, Purchasing, and Quality to drive continuous improvement through automation, analytics, and emerging technologies.
 </p>
 Key ResponsibilitiesBusiness Process Analysis &amp; Cross-Functional Collaboration
 <ul>
  <li>
   Partner with leaders across Sales, Operations, Purchasing, Finance, Marketing, Customer Success, Quality, and Manufacturing to identify operational challenges and improvement opportunities.
  </li>
  <li>
   Translate business requirements into automated reporting, dashboards, and workflow solutions.
  </li>
  <li>
   Serve as an internal consultant helping departments leverage AI, automation, and emerging technologies to improve efficiency and business performance.
  </li>
  <li>
   Lead cross-functional initiatives from concept through implementation.
  </li>
 </ul>
 AI &amp; Process Automation
 <ul>
  <li>
   Identify repetitive or manual business processes suitable for automation.
  </li>
  <li>
   Evaluate emerging AI platforms and technologies for organizational value and practical implementation.
  </li>
  <li>
   Implement AI-powered solutions within ERP and CRM systems to streamline operational and customer-facing processes.
  </li>
  <li>
   Develop AI best practices, governance standards, and scalable automation strategies.
  </li>
  <li>
   Ensure data accuracy, consistency, and integrity across reporting systems.
  </li>
 </ul>
 Business Intelligence &amp; Data Analytics
 <ul>
  <li>
   Develop dashboards, KPI reporting, and executive analytics utilizing ERP, CRM, and business data.
  </li>
  <li>
   Analyze business trends to identify opportunities for operational improvements, cost savings, and revenue growth.
  </li>
  <li>
   Deliver actionable insights that support strategic decision-making.
  </li>
  <li>
   Support data visualization and business intelligence initiatives across the organization.
  </li>
 </ul>
 Technology Evaluation &amp; Innovation
 <ul>
  <li>
   Assess AI applications, software platforms, and digital tools for usability, scalability, security, and long-term business value.
  </li>
  <li>
   Develop proof-of-concept (PoC) initiatives to validate emerging technologies prior to enterprise implementation.
  </li>
  <li>
   Recommend technology solutions that improve productivity, efficiency, and organizational scalability.
  </li>
 </ul>
 Training &amp; Change Management
 <ul>
  <li>
   Educate employees on AI technologies, automation capabilities, and best practices.
  </li>
  <li>
   Develop SOPs, documentation, and training materials supporting new systems and processes.
  </li>
  <li>
   Drive organizational adoption by ensuring solutions are user-friendly, practical, and aligned with business objectives.
  </li>
 </ul>
 QualificationsRequired
 <ul>
  <li>
   Bachelor's degree in Business, Data Analytics, Information Systems, Computer Science, Engineering, or a related field (or equivalent experience).
  </li>
  <li>
   2&ndash;5 years of experience in business analytics, process improvement, automation, artificial intelligence, or technology implementation.
  </li>
  <li>
   Strong analytical, critical thinking, and problem-solving skills.
  </li>
  <li>
   Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
  </li>
  <li>
   Strong collaboration and project coordination abilities.
  </li>
 </ul>
 Preferred
 <ul>
  <li>
   Experience with Microsoft Power BI, Excel, SQL, Power Automate, Power Apps, or similar business intelligence tools.
  </li>
  <li>
   Familiarity with generative AI platforms including ChatGPT, Microsoft Copilot, Claude, Gemini, or similar technologies.
  </li>
  <li>
   Experience implementing business intelligence reporting and dashboard solutions.
  </li>
  <li>
   Project management experience.
  </li>
  <li>
   Experience supporting ERP and CRM systems.
   <br/>
  </li>
 </ul>
 <br/>
 MOHR Talent is an equal-opportunity employer and complies with all applicable federal, state, and local nondiscrimination laws. We provide equal employment opportunities regardless of race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military/veteran status, or any other protected status. If you believe you have been discriminated against or have concerns about our compliance, please contact our Human Resources department at hr@themohrgrp.com
</div>


AI Data Specialist

International Swaps and Derivatives Association

<div><div><p>June 30, 2026</p>
<p><b>Job Title:</b> Assistant Director, Artificial Intelligence</p>
<p><b>Reports to:</b> Senior Director, Digital Transformation, Analytics</p>
<p><b>Location:</b> New York</p>
<p><b>Salary Range:</b> $120,000 - $130,000</p>
</div><div><p><b>Job purpose</b><br>
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab.</p><br>
<p></p>
<p><b>
Duties and responsibilities</b></p>
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market<b><i>.</i></b></li></ul><br>
<p></p>
<p><b>
Relevant Skills / Abilities</b></p>
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div><p></p>

Assistant Director, Artificial Intelligence, NY

Roke

<div>
 <p>
  <strong>
   AI Engineer &ndash; National Security
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Great ideas come from different minds. That's why we bring together engineers, data scientists, analysts, researchers, and innovators from diverse backgrounds &mdash; giving them the trust, tools, and freedom to solve complex problems and deliver meaningful impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As technology continues to evolve, so do we. We work on cutting-edge solutions that transform organisations through Artificial Intelligence, Machine Learning, Data Science, Cloud Technologies, and Advanced Analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking talented AI Engineers to join our growing capability and help design, develop, and deploy AI-powered solutions that deliver real-world outcomes across government, defence, national security, and commercial sectors.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for experienced AI Engineers to strengthen our delivery capability across a range of AI and Machine Learning programmes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The successful candidates will work across the full AI lifecycle, from requirements gathering and solution design through to model development, deployment, optimisation, and operational support. This is a hands-on technical role requiring strong software engineering practices combined with expertise in modern AI technologies, machine learning frameworks, and cloud-native architectures.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will collaborate with multidisciplinary teams to build scalable, secure, and production-ready AI systems that solve complex business and operational challenges.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Primary Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI and Machine Learning solutions to address complex customer requirements.
  </li>
  <li>
   Build scalable AI applications, services, and platforms using modern software engineering practices.
  </li>
  <li>
   Develop, evaluate, and optimise machine learning models, including Large Language Model (LLM) solutions.
  </li>
  <li>
   Integrate AI capabilities into enterprise systems, products, and operational environments.
  </li>
  <li>
   Support technical architecture, solution design, and technology selection activities.
  </li>
  <li>
   Ensure AI solutions are secure, reliable, maintainable, and aligned with customer needs.
  </li>
  <li>
   Provide specialist technical advice and support to our business change community.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Engineering &amp; Development
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design and develop AI-enabled applications using Python and modern development frameworks.
  </li>
  <li>
   Build and deploy machine learning, deep learning, and Generative AI solutions.
  </li>
  <li>
   Develop and optimise Retrieval-Augmented Generation (RAG) pipelines and LLM-powered applications.
  </li>
  <li>
   Integrate AI services with cloud platforms, APIs, databases, and enterprise systems.
  </li>
  <li>
   Create scalable data processing and feature engineering pipelines.
  </li>
  <li>
   Implement MLOps practices including model deployment, monitoring, testing, and lifecycle management.
  </li>
  <li>
   Evaluate model performance and continuously improve accuracy, reliability, and efficiency.
  </li>
  <li>
   Apply software engineering best practices including version control, CI/CD, testing, and code reviews.
  </li>
  <li>
   Support technical investigations, proof-of-concepts, and innovation activities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Architecture &amp; Solution Design
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Contribute to solution architecture and technical design decisions.
  </li>
  <li>
   Conduct trade-off analysis across performance, scalability, cost, security, and maintainability.
  </li>
  <li>
   Support the selection and evaluation of AI models, frameworks, and platforms.
  </li>
  <li>
   Ensure solutions align with enterprise architecture and governance requirements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Delivery &amp; Customer Engagement
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work closely with project managers, technical leads, and customer stakeholders to deliver successful outcomes.
  </li>
  <li>
   Translate business requirements into technical AI solutions.
  </li>
  <li>
   Provide technical guidance and expertise throughout the project lifecycle.
  </li>
  <li>
   Present findings, demonstrations, and recommendations to technical and non-technical audiences.
  </li>
  <li>
   Identify risks, dependencies, and opportunities early to support successful delivery.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills &amp; Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Commercial experience developing AI, Machine Learning, or Data Science solutions.
  </li>
  <li>
   Strong software engineering experience using Python.
  </li>
  <li>
   Experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-Learn, or equivalent.
  </li>
  <li>
   Experience developing Generative AI and LLM-based applications.
  </li>
  <li>
   Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering techniques.
  </li>
  <li>
   Experience deploying applications within cloud environments such as AWS, Azure, or Google Cloud Platform.
  </li>
  <li>
   Understanding of APIs, microservices, and distributed systems architectures.
  </li>
  <li>
   Experience with containerisation technologies such as Docker and Kubernetes.
  </li>
  <li>
   Strong problem-solving and analytical skills.
  </li>
  <li>
   Excellent communication and stakeholder engagement capabilities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable Skills &amp; Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   MLOps experience using MLflow, Kubeflow, SageMaker, Azure ML, or similar platforms.
  </li>
  <li>
   Experience with Agentic AI, AI orchestration frameworks, and multi-agent systems.
  </li>
  <li>
   Knowledge of data engineering technologies and large-scale data platforms.
  </li>
  <li>
   Experience working in secure, regulated, or mission-critical environments.
  </li>
  <li>
   Familiarity with cybersecurity principles and secure AI development.
  </li>
  <li>
   Experience working with NLP, computer vision, reinforcement learning, or predictive analytics solutions.
  </li>
  <li>
   Knowledge of Responsible AI, AI governance, and model risk management frameworks.
  </li>
  <li>
   Exposure to DevOps, Platform Engineering, and Infrastructure as Code practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Physics, or a related discipline.
  </li>
  <li>
   Relevant industry certifications are advantageous.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Bring
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   A passion for solving complex technical challenges.
  </li>
  <li>
   A collaborative mindset and ability to work effectively within multidisciplinary teams.
  </li>
  <li>
   Curiosity about emerging technologies and AI advancements.
  </li>
  <li>
   A commitment to delivering high-quality, customer-focused solutions.
  </li>
  <li>
   Strong attention to detail and continuous improvement.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  You'll have the opportunity to work on innovative AI programmes that tackle some of the most interesting challenges across government, defence, national security, and commercial sectors.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Working alongside highly skilled engineers, scientists, and technology specialists, you'll help shape the next generation of intelligent systems while continuing to grow your own skills and career.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Security Clearance (Where Applicable)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Some opportunities may require eligibility for, or possession of, UK Government Security Clearance. Clearance requirements will be discussed during the recruitment process.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Next Step
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you're passionate about Artificial Intelligence and want to help deliver innovative solutions that create real impact, we'd love to hear from you. Please submit an up-to-date CV outlining your experience, technical expertise, and career achievements.
 </p>
 <p>
  <br/>
 </p>
</div>


Artificial Intelligence Engineer

<div><div><p>June 30, 2026</p>
<p><b>Job Title:</b> Assistant Director, Artificial Intelligence</p>
<p><b>Reports to:</b> Senior Director, Digital Transformation, Analytics</p>
<p><b>Location:</b> London</p>
</div><div><p><b>Job purpose</b><br>
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab.</p><br>
<p></p>
<p><b>
Duties and responsibilities</b></p>
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market<b><i>.</i></b></li></ul><br>
<p></p>
<p><b>
Relevant Skills / Abilities</b></p>
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div><p></p>

Assistant Director, Artificial Intelligence, London

Manchester Metropolitan University

<div><div><p><b>Thinking about a change from industry?</b></p>
<p>If you're an experienced industry professional who enjoys mentoring colleagues, are a SME in your technical area, and want to explore teaching as a career option, this could be your next step.</p>
<p>At Manchester Metropolitan University, you'll have the opportunity to <b>shape the next generation of IT professionals</b>, by bringing your real-world experience into a modern, industry-focused learning environment.</p>
<p>We are keen to engage with you if you specialise in <b>Artificial Intelligence </b>and are looking to join us as <b>Lecturer or Senior Lecturer </b>for a <b>part time or full-time career</b>.</p><br>
<p></p><p><b>Why Make the Move to Education?</b></p>
<ul><li><b>Make a real impact</b> &ndash; help students and apprentices launch successful careers in tech</li>
<li><b>Stay hands-on with modern development</b> &ndash; teach current tools, frameworks, and practices</li>
<li><b>Better work-life balance</b> &ndash; a more sustainable pace than many industry roles, in addition to a generous holiday entitlement of 35 days plus bank holidays and a Christmas break, coupled with a competitive pension scheme.</li>
<li><b>Share your expertise</b> &ndash; turn your experience into meaningful teaching and mentoring</li>
<li><b>Structured pathways to progression</b> from Lecturer to Professor through our <b>Education, Pedagogy, and Citizenship (EPC)</b> pathway. Find out more about EPC here</li>
<li><b>Support to transition</b> &ndash; we'll help you develop as an educator, even if you've never taught before</li><br>
</ul><p></p><p><b>Our Commitment to You</b></p>
<ul><li>Ongoing professional development (technical and teaching)</li>
<li>Opportunities to stay connected with the industry</li>
<li>A supportive and collaborative working culture</li>
<li>If you're coming from industry, we will support you in gaining teaching qualifications and developing your academic career</li>
<li>Clearly defined career development and progression</li><br>
</ul><p></p><p><b>As a Lecturer or Senior Lecturer:</b></p>
<p>You'll design and deliver engaging, practical teaching across Levels 3&ndash;7 (foundation to postgraduate), including our highly regarded <b>degree apprenticeships</b>.</p>
<p>This isn't purely theoretical teaching&mdash;you'll:</p>
<ul><li>Teach<b> modern practices in Artificial Intelligence </b>(e.g. Data Analysis &amp; Visualisation, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, AI Ethics, Governance &amp; Responsible AI)</li>
<li>Work with <b>apprentices employed in industry</b>, bringing real-world challenges into the classroom</li>
<li>Design <b>hands-on projects and coding-based learning experiences</b></li>
<li>Help students <b>build the skills employers actually need</b></li>
</ul><p>You'll be part of a collaborative academic team that values innovation, industry relevance, and student success.</p><br>
<p></p><p><b>About You</b></p>
<p>We're looking for experienced computing professionals who are passionate about developing others, to join the Department of Computing and Mathematics.</p>
<p>You'll bring:</p>
<ul><li>An interest in mentoring, coaching, or teaching others</li>
<li>A desire to share your knowledge and support student success</li>
<li>The ability to communicate complex technical ideas clearly</li>
<li>Significant industry experience is welcome or a PhD in Computer Science (or related field) is equally valued</li>
<li><b>If you are an expert in Artificial Intelligence, you may be currently working as a Quantitative Analyst, Research Data Scientist, Machine Learning Engineer, MLOps Engineer, AI Governance Specialist or Mentor.
</b></li><li><b>Strong experience in applying AI or Data Science to real-world problems.</b></li><br>
</ul><p></p><p><b>Application &amp; Assessment</b></p>
<ul><li>To apply, please submit a CV and cover letter outlining how your profile, experience and ambition make you an ideal candidate for the role.</li>
<li>We will be shortlisting and conducting interviews for this vacancy iteratively throughout the advertising period. We therefore encourage applicants to apply for this vacancy when ready to do so to ensure your application is reviewed at the most appropriate time.</li>
<li>Should you be successful, our interview process for this vacancy will be a 2-stage process.</li>
<li><b>Stage 1 &ndash; </b>Panel interview and presentation delivery, chaired by the Head of or Deputy Head of Department of Computing and Mathematics. Stage 1 interviews are expected to be scheduled in the w/c 20 July, 03 August, 17 August and 14 September</li>
<li><b>Stage 2 &ndash; </b>Interview with Mark Sterling, Faculty Pro Vice Chancellor and Professor Darren Dancey, Head of Department of Computing and Mathematics. Stage 2 interviews are expected to be scheduled in the w/c 27 July, 24 August and 21 September</li>
<li>For an informal chat about the role, contact Professor Darren Dancey, Head of Department (patoheadofcompandmaths@mmu.ac.uk)
</li></ul><p><b><i>To know more about our Research Community, click </i></b><b><i>here</i></b></p><br>
<p></p><p><b>Further information:</b></p>
<p>Manchester Metropolitan University fosters an inclusive culture of belonging that promotes equity and celebrates diversity. We value a diverse workforce for the innovation and diversity of thought it brings and welcome applications from local and international communities, including those from Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals.</p>
<p>We support a range of flexible working arrangements, including hybrid and tailored schedules, which can be discussed with your line manager. If you require reasonable adjustments during the recruitment process or in your role, please let us know so we can provide appropriate support.</p>
<p>Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups.</p>
<p>Manchester Met is a Disability Confident Leader and, under this scheme, aims to offer an interview to disabled people who apply for the role and meet the essential criteria as listed in the attached Job Description for that vacancy.</p><br>
<p></p><p><b><i>Find out more about our Computing Campaign, </i></b><b><i>here</i></b></p></div></div><p></p>
<br><div></div><div><div><h2 class="jobSectionHeader"><b>Details</b></h2>
<div><ul><li><div>Location:</div>
<div>Manchester All Saints Campus</div>
</li><li><div>Faculty / Function:</div>
<div>Science &amp; Engineering</div>
</li><li><div>Salary:</div>
<div>For Lecturer in Grade 8 (&pound;41,064 to &pound;51,753) / For Senior Lecturer in Grade 9 (&pound;48,822 to &pound;61,759)</div>
</li><li><div>Closing Date:</div>
<div>6 September 2026</div>
</li><li><div>Contract Type:</div>
<div>Permanent</div>
</li><li><div>Contracted Hours per week:</div>
<div>37</div>
</li></ul></div></div><div><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<div></div><div><div><div>35 days leave + Christmas closure + Bank holidays</div>
</div><div></div><div><div>Travel loan</div>
</div><div></div><div><div>Wellbeing platform</div>
</div><div></div><div><div>Life insurance</div>
</div><div></div><div><div>Access to Campus Facilities</div>
</div><div></div><div><div>Enhanced parental leave</div>
</div><div></div><div><div>High-quality guaranteed pension</div>
</div></div></div><div><h2 class="jobSectionHeader"><b>Meet the </b><b>recruiter</b></h2>
<div></div><h3 class="jobSectionHeader"><b>Neha Phanse</b></h3>
<p>N.Phanse@mmu.ac.uk</p></div></div><p></p>

Lecturer / Senior Lecturer in Artificial Intelligence for Industry Experts

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