generative ai specialist

MEDIFLOWS BILLING SOLUTIONS Company

Nicon Group of Colleges is seeking a highly skilled AI &amp; Generative AI Specialist responsible for designing, developing, and deploying intelligent systems using modern artificial intelligence technologies. The ideal candidate will have hands-on experience with large language models (LLMs), prompt engineering, and AI-powered applications, with the ability to translate complex business requirements into scalable AI solutions.Key Responsibilities<ul><li>Design, develop, and deploy AI/ML and generative AI solutions for real-world applications</li><li>Build and integrate applications using large language models (LLMs) such as GPT-based systems</li><li>Implement advanced AI techniques including Retrieval-Augmented Generation (RAG), embeddings, and vector databases</li><li>Develop intelligent automation tools such as chatbots, virtual assistants, and AI agents</li><li>Work with APIs and integrate AI services into web and mobile applications</li><li>Optimize model performance, latency, and scalability in production environments</li><li>Collaborate with cross-functional teams including developers, analysts, and stakeholders</li><li>Stay up to date with the latest advancements in AI, machine learning, and generative technologies</li><li>Document technical processes, workflows, and system architectures</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field</li><li>Strong programming skills in Python</li><li>Hands-on experience with AI frameworks and libraries (TensorFlow, PyTorch, etc.)</li><li>Practical experience with LLMs, prompt engineering, and tools such as LangChain or AutoGen</li><li>Understanding of machine learning algorithms, NLP, and deep learning concepts</li><li>Experience deploying AI solutions on cloud platforms (AWS, Azure, or GCP)</li><li>Strong analytical thinking and problem-solving skills</li><li>Ability to work independently and in a team environment</li></ul>Preferred Qualifications<ul><li>Experience with vector databases (Pinecone, FAISS, etc.)</li><li>Knowledge of MLOps and model deployment pipelines</li><li>Prior experience working on AI-based products or SaaS platforms</li></ul>Job Type: Part-timePay: Rs50,000.00 - Rs60,000.00 per monthExperience:<ul><li>Generative AI: 2 years (Preferred)</li></ul>Location:<ul><li>Rawalpindi Satellite Town (Preferred)</li></ul>Work Location: In person

AI & Generative AI Specialist

Quantum Talent Group

<div>
 
 Data Scientist &ndash; RAG / Generative AI
 
 
 
 
 
 ****📍 Saudi Arabia (based in KSA or open to relocation) ****
 
 
 
 
 
 We are hiring experienced Data Scientists with strong expertise in Retrieval-Augmented Generation (RAG) and Generative AI to join a leading partner delivering enterprise AI projects across Saudi.
 
 
 
 
 
 You will work across multiple client engagements, building and deploying scalable GenAI and LLM-powered solutions for different industries.
 
 
 
 
 
 Requirements
 
 <ul>
 <li>
 Strong hands-on RAG experience
 </li>
 <li>
 Experience with LLMs and Generative AI
 </li>
 <li>
 Python expertise
 </li>
 <li>
 Experience with LangChain, LlamaIndex, OpenAI/Azure OpenAI
 </li>
 <li>
 Knowledge of vector databases (FAISS, Pinecone, Azure AI Search, etc.)
 </li>
 <li>
 Experience deploying AI solutions in cloud environments
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Consulting/client-facing experience
 </li>
 <li>
 GCC project exposure
 </li>
 <li>
 MLOps or AI platform engineering experience
 </li>
 </ul>
 
 
 
 
 Please apply on this posting or drop me a message for more details
 
</div>

AI Data Scientist

Cognizant

Job Summary
 We are seeking a versatile and highly skilled AI Expert to join our innovative team. This role requires a unique blend of expertise in Large Language Models (LLMs) on the Azure platform and the application of AI in 3D modeling. The ideal candidate will be a creative technologist passionate about pushing the boundaries of generative AI, from developing intelligent Copilot agents to creating immersive 3D worlds. You will be responsible for designing, developing, and deploying cutting-edge AI solutions that span conversational AI and advanced 3D content generation.
 Key Responsibilities
 Holistic AI Solution Design: Architect and implement end-to-end AI solutions that leverage the full spectrum of generative AI, including both language and visual modalities.
 
Conversational & Agentic AI: 
Design and develop sophisticated conversational AI agents using Microsoft Copilot Studio and the Azure AI ecosystem (including Azure OpenAI Service).
 Build and implement LLM-based applications, leveraging frameworks like LangChain for complex Retrieval-Augmented Generation (RAG) and agentic workflows.
 
Integrate AI agents with enterprise data sources (e.g., SharePoint, SQL Server) and automate business processes using Power Automate.
 
AI for 3D Modeling: 
Utilize and develop AI-powered tools to assist, automate, and enhance the creation of high-quality 3D models.
 Design, implement, and train large-scale generative models (e.g., diffusion models) for generating 3D assets and environments from text or 2D images.
 Create and manage scalable data pipelines for large, unstructured, multi-modal data sources (text, images, 3D models) to fuel machine learning initiatives.
 
MLOps & Collaboration: 
Take ownership of the full lifecycle of ML models, including deployment, containerization, CI/CD, and performance monitoring.
 Collaborate closely with business stakeholders, designers, and research teams to translate product requirements into a cohesive technical roadmap.
 Qualifications
 Experience: 5+ years of hands-on experience in AI/ML engineering or data science, with a proven track record of building and deploying complex AI solutions.
 
Core Technical Skills: 
Proficiency in Python and common ML/DL libraries (e.g., scikit-learn, TensorFlow, PyTorch).
 Strong experience with the Azure AI/Data ecosystem, particularly Azure Machine Learning and Azure OpenAI Service.
 
Generative AI Expertise: 
Hands-on experience with Microsoft Copilot Studio and building conversational agents.
 Experience with generative models (GANs, Diffusion Models, LLMs) is a significant plus.
 
3D Modeling Skills: 
A strong portfolio showcasing 3D modeling work is highly desirable.
 Familiarity with 3D modeling software (e.g., Blender, Maya, ZBrush) and computational geometry is a plus.
 
Education : 
Bachelor's or Master's degree in Computer Science, Engineering, Graphic Design, or a related technical discipline.

AI Expert

MASTER-WORKS

<div>Job Description:
The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.
Tools &amp; Technologies: Dataiku, Sql server, Power bi, and aws bedrock
Key Responsibilities:<ul><li>
Design, develop, train, and optimize machine learning models for real applications or use cases.</li><li>
Translate business and product requirements into scalable ML/AI solutions.</li><li>
Implement feature engineering, model selection, tuning, and evaluation techniques.</li></ul><ul><li>
Develop, and deploy ML models into production environments with high availability and performance.</li><li>
Build and maintain ML pipelines (training, validation, deployment, monitoring).</li><li>
Monitor model performance, data drift, and model decay; retrain models as needed.</li><li>
Ensure models meet reliability, scalability, and security standards.</li><li>
Work closely with Data Scientists, Product Managers, and Software Engineers.</li><li>
Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.</li><li>
Participate in design and code reviews, ensuring engineering best practices.</li><li>
Optimize models for latency, throughput, and cost.</li><li>
Implement experimentation frameworks (A/B testing, offline evaluation).</li><li>
Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul> 
Requirements 
Requirements &amp; Qualifications:<ul><li>
+4 years of hands-on experience in Machine Learning or applied AI roles.</li><li>
Strong programming skills in Python (and/or Java, Scala).</li><li>
Solid understanding of ML algorithms (supervised, unsupervised, deep learning).</li><li>
Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>
Experience deploying models using Docker, Kubernetes, or cloud ML services.</li><li>
Strong knowledge of data structures, algorithms, and software engineering principles.</li><li>
Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.</li><li>
Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).</li><li>
Experience with big data technologies (Spark, Kafka, Databricks).</li><li>
Background in NLP, Computer Vision, or Generative AI.</li><li>
Strong problem-solving and analytical thinking</li><li>
Production-first mindset</li><li>
Data-driven decision making</li><li>
High Collaboration and communication skills</li></ul></div>

AI Developer

Palm Hills Developments

<div>
 
 
 Role Summary
 
 
 
 Palm Hills Developments is embarking on an ambitious programme to embed Generative AI and agentic‑AI capabilities into our company workflows.
 
 Reporting to the Director of Project Controls
 
 and working in close partnership with Group IT, you will spearhead the end‑to‑end strategy, design and roll‑out of AI solutions that drive measurable value for both operational teams and executive leadership.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Identify and priorities high‑impact AI use cases for various functions and departments.
 </li>
 <li>
 Craft a phased AI adoption road‑map aligned with corporate KPIs and governance.
 </li>
 <li>
 Translate business needs into technical designs covering data pipelines, model selection (LLMs, vector databases, fine‑tuning), prompt‑engineering and agent orchestration.
 </li>
 <li>
 Define architecture standards in partnership with IT (cloud vs. on‑prem, security).
 </li>
 <li>
 Lead proofs‑of‑concept and pilots; turn successful pilots into enterprise‑grade products.
 </li>
 <li>
 Coordinate cross‑functional squads (Project Controls, IT, Sales, Legal) and external vendors/consultants.
 </li>
 <li>
 Establish data‑privacy, model‑risk and ethical‑AI controls.
 </li>
 <li>
 Develop training programmes and user documentation; champion adoption across multiple business units.
 </li>
 <li>
 Define success metrics (accuracy, cycle‑time, cost savings, user satisfaction); continuously optimize models and workflows.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 Education:
 
 BSc degree (or higher) in Artificial Intelligence, Computer Science, Data Science or a related field.
 
 
 
 Experience:
 
 1+ years in data/AI roles and delivering Large‑Language‑Model or agentic‑AI projects from concept to deployment.
 
 
 
 Technical Toolkit:
 
 
 
 Proficiency with Python (LangChain, Semantic Kernel, etc.), SQL, and RESTful APIs.
 
 
 Proficiency with ML Python Libraries (Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.)
 
 
 Familiarity with cloud ML stacks (Azure OpenAI, AWS Bedrock, GCP Vertex) and vector databases.
 
 
 Applied machine learning techniques on multiple projects
 
 
 
 Soft Skills
 
 : Stakeholder engagement up to C‑suite, vendor management, presentation &amp; training capability; fluent English and Arabic.
 
 
 
 Desirable Skills:
 
 
 
 &bull;Experience in integrating AI solutions with Power platform, MS Dynamics, Sales Force CRM.
 
 
 &bull;AI‑related credentials
 
 
 
 Location:
 
 
 Head Office, 6th of October City, Giza, Egypt
 
 
</div>

AI Solutions Engineer

KPMG

<div>Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization.
Responsibilities:<ul><li>
Develop sophisticated generative AI solutions; provide technical guidance to a team of data scientists</li><li>
Guide the end-to-end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization</li><li>
Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions</li><li>
Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions</li><li>
Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines</li><li>
Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality</li><li>
Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis</li><li>
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment</li></ul>
Qualifications:<ul><li>
Minimum five years of recent experience in data science or a related machine learning field with a proven track record of delivering AI solutions into production environments</li><li>
PhD or Master's degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline is required</li><li>
Hands-on expertise with generative AI including extensive experience with LLMs (for example, Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel</li><li>
Proficient in Python and its data science ecosystem; experienced in building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search</li><li>
Solid understanding of the software development lifecycle (SDLC) in an agile environment; experienced with version control tools like Git and CI/CD tools within Azure DevOps</li><li>
Exceptional analytical skills; able to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders(200TEC)</li></ul>
<div>KPMG LLP and its subsidiaries (&ldquo;KPMG&rdquo;) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits &amp; How We Work.</div><div></div><div> 
Follow this link to obtain salary ranges by city outside of CA:</div>
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8153_9_26
<div><div>KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</div><div></div><div> 
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.</div><div></div><div> 
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</div></div></div>

Data Scientist- Manager

Metropolitan Commercial Bank

<div>Come Work With Us:

Metropolitan Commercial Bank (&quot;MCB&quot; or the &quot;Bank&quot;) is a New York City&ndash;based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.

Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.

The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek's Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor's Choice recognition at the Banking Tech Awards USA for Digital Onboarding &amp; Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.

We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human&ndash;AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank's website at MCBankNY.com. 


Position Summary:

Metropolitan Commercial Bank (the &quot;Bank&quot;) is seeking an Applied AI Analyst to support the design, configuration, testing, and monitoring of applied AI, Generative AI, machine learning, and agentic workflow solutions in a highly regulated banking environment. Working under the guidance of AI Scientists and in partnership with engineering, risk, and business teams, this role focuses on internal human-in-the-loop use cases such as AI-assisted loan documentation generation, fraudulent transaction detection models, policy and knowledge copilots, workflow automation, and other productivity solutions. A meaningful portion of the role is dedicated to AI solution intake and delivery support&mdash; learning new business domains, engaging business owners, preparing required documentation, and supporting vendor and risk reviews, so that solutions can be built and deployed under strict control gates and documentation standards aligned to internal and external regulations. The role emphasizes strong documentation, human oversight, privacy-by-design, cybersecurity, and disciplined lifecycle controls aligned to internal and external regulations. The role also emphasizes familiarity with Microsoft Foundry / Foundry Agent Service, approved Microsoft Copilot ecosystems, RAG architectures, and enterprise data platforms such as Snowflake.

Standard 4-day in-office requirement, 1 day remote (of your choosing)

Essential Functions &amp; Responsibilities

Applied AI solution development &amp; analysis:
<ul>
<li>Support AI Scientists in building, configuring, and testing applied AI/GenAI solutions for high-value banking use cases such as credit memo generation, policy/regulatory summarization, knowledge assistants, and internal productivity copilots.</li>
<li>Develop and refine prompts, grounding instructions, structured outputs, evaluation datasets, and Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector search, document chunking, and metadata-driven retrieval.</li>
<li>Prepare and transform structured and unstructured data; assist with API integrations, notebooks, and repeatable workflows that improve quality, traceability, and analyst productivity.</li>
</ul>
Agentic workflow design &amp; orchestration:
<ul>
<li>Assist in designing and testing agentic workflows using approved enterprise platforms and frameworks, including multi-agent patterns, human-in-the-loop approvals, handoffs, and subagent / agents-as-tools designs.</li>
<li>Work with emerging interoperability patterns such as Model Context Protocol (MCP), tool / skill / plugin integration, and Agent-to-Agent (A2A) connectivity under supervision and within approved guardrails.</li>
<li>Document workflow steps, tool schemas, fallback logic, escalation paths, and safe disablement / rollback procedures for agentic and GenAI solutions.</li>
</ul>
Microsoft Foundry, Copilot, and enterprise platform enablement:
<ul>
<li>Support prototyping and evaluation in Microsoft Foundry / Foundry Agent Service and related Microsoft ecosystems (for example, Microsoft 365 Copilot) while partnering with Engineering and Data teams operating on Snowflake and other approved enterprise platforms.</li>
<li>Assist with prompt and agent configuration, retrieval integration, logging, model / tool versioning, and operational runbooks.</li>
</ul>
Evaluation, testing, and monitoring:
<ul>
<li>Create and execute test cases for accuracy, groundedness, hallucination, task completion, retrieval quality, bias/fairness, and basic adversarial or prompt-injection scenarios; escalate issues promptly.</li>
<li>Track KPIs/KRIs, output quality, drift indicators, and user feedback; maintain evidence needed for pilot reviews, production monitoring, and periodic reassessment.</li>
</ul>
AI governance, intake documentation, and cybersecurity/privacy controls:
<ul>
<li>Support AI use-case intake and governance processes by preparing required documentation (e.g., AI intake forms, model/system inventories, change-control artifacts, and audit-ready evidence packs) aligned to MCB's Trustworthy &amp; Responsible AI Principles and internal approval processes.</li>
<li>Learn domain and process context for new use cases by speaking with business owners and control partners; translate requirements into clear problem statements, data needs, user journeys, control gates, and documentation required to comply with internal and external regulations.</li>
<li>Support third-party / AI vendor due diligence by collecting and organizing evidence, reviewing vendor documentation, and helping risk-tier AI vendors and solutions in partnership with Third-Party Risk and Cyber/IT; act as an AI subject matter expert in providing an understanding of AI-specific risks.</li>
<li>Apply privacy-by-design, data minimization, access-control, and secure prompt/data handling practices; follow approved tooling and build standards.</li>
</ul>
Cross-functional partnership and continuous learning:
<ul>
<li>Communicate findings, limitations, and recommendations clearly to AI Scientists, managers, control partners (Model Risk, Compliance/Legal, Cyber/IT, Data Privacy), and business stakeholders; incorporate feedback quickly and accurately.</li>
<li>Contribute to playbooks, standard operating procedures, and reusable templates for prompts, evaluations, agent patterns, and workflow controls.</li>
</ul>
Innovation and best practices:
<ul>
<li>Stay current on practical applied-AI methods&mdash;including RAG, evaluation frameworks, agentic workflow design, MCP, A2A, and Microsoft Foundry capabilities&mdash;and recommend fit-for-purpose uses under established control gates.</li>
<li>Demonstrate sound judgment, curiosity, and willingness to learn from senior AI Scientists while promoting responsible AI, reproducibility, and disciplined execution.</li>
</ul>
Qualifications &amp; Skills:
<ul>
<li>2+ years of work experience.</li>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, Mathematics, or a related field is preferred. Relevant internships, apprenticeships, or comparable hands-on AI, analytics, or automation project experience will be considered.</li>
<li>Working knowledge of Python, SQL, notebooks, REST APIs, JSON/YAML, and version control (e.g., Git) for data analysis and AI workflow support.</li>
<li>Understanding of traditional machine learning model development and lifecycle concepts, including model training, data leakage prevention, testing/validation, monitoring, and common performance metrics for classification and regression.</li>
<li>Familiarity with LLM application patterns, including prompt engineering, structured outputs, function/tool calling, Retrieval-Augmented Generation (RAG), embeddings, and vector search.</li>
<li>Familiarity with Microsoft Foundry (including Foundry Agent Service), Microsoft 365 Copilot / Copilot Studio concepts, and approved enterprise data/AI platforms such as Snowflake.</li>
<li>Understanding of agentic workflow concepts such as MCP servers/tools, skills/plugins, subagents or agents-as-tools, handoffs, human-in-the-loop controls, and A2A integration patterns.</li>
<li>Ability to test and evaluate AI outputs for accuracy, groundedness, hallucination, retrieval quality, bias/fairness, and basic security misuse scenarios.</li>
<li>Working knowledge of model and data governance concepts, including documentation, monitoring, change control, inventories, audit trails, and three-lines-of-defense oversight in a regulated environment.</li>
<li>Strong written and verbal communication skills; ability to turn technical findings into clear summaries, test evidence, and action items for business and risk stakeholders.</li>
<li>Analytical, organized, and adaptable mindset; ability to learn quickly, manage multiple workstreams, and balance innovation with risk discipline.</li>
</ul>
Preferred Qualifications &amp; Skills
<ul>
<li>Financial services exposure in fraud, AML/KYC/CDD/EDD, underwriting, commercial banking, treasury, policy governance, or contact center analytics.</li>
<li>Hands-on experience with Microsoft Foundry / Foundry Agent Service, Azure AI Search or equivalent retrieval tooling, M365 Copilot / Copilot Studio, Snowflake, or similar enterprise AI platforms is a plus.</li>
<li>Experience with RAG architectures, vector databases / vector search, document chunking, metadata extraction, OCR/document understanding, and prompt engineering.</li>
<li>Exposure to agentic workflow patterns such as MCP tool integration, skills/plugins, handoffs, subagents, A2A, and evaluation frameworks for task completion and tool-call quality.</li>
<li>Familiarity with LangChain, Semantic Kernel, LangGraph, Microsoft Agent Framework, or similar orchestration libraries/frameworks is a plus.</li>
<li>Awareness of external regulations including SR 11-7, SR 23-4, AI use-case intake / inventory processes, privacy, cybersecurity, and third-party risk expectations in a regulated environment.</li>
<li>Ability to work in a constantly evolving environment.</li>
<li>Must have excellent written and verbal communication skills.</li>
<li>Demonstrate analytical, troubleshooting, and problem-solving skills.</li>
<li>The ability to learn new technologies quickly.</li>
<li>Self-directed individual with strong organizational and communication skills.</li>
<li>Ability to synthesize multiple sources of information with an understanding of the bigger picture needs and operations of the Bank.</li>
<li>Collaborative team player who can find practical solutions in a dynamic work environment.</li>
<li>Ability to handle ambiguity, manage multiple tasks at once, and shift effectively between priorities.</li></ul> 


Potential Salary: $120,000 - $150,000 annually

This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.

Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</div>

Applied AI Analyst

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