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data architect

MANTECH

<div>MANTECH seeks a motivated, career and customer-oriented AI/Data Architect to join our team full time on-site in Tampa, FL. This role supports U.S. Special Operations Command Central (SOCCENT), focusing on data visualization, dashboard creation, and operational analytics using the latest government AI platforms rather than custom software development.
Responsibilities include but are not limited to:<ul><li>
Lead a team of Data Scientists, Data Engineers, and Data Analysists in using and maximizing the capabilities of existing government AI and data platforms to support Special Operations missions.</li><li>
Design, build, and maintain comprehensive dashboards and data visualizations that provide situational awareness and decision support.</li><li>
Aggregate data from disparate sources ensuring data integrity and readiness for interpretation by Command staff.</li><li>
Act as a liaison between technical data streams and operational decision-makers, translating complex data sets into clear visual narratives.</li><li>
Configure and tune data views within the platform to meet specific mission requirements without the need for custom software development.</li><li>
Identify data gaps and coordinate with platform engineers to ensure the necessary data is available for analysis.</li><li>
Train and mentor government staff on how to effectively interact with dashboards and data tools.</li></ul>
Minimum Qualifications:<ul><li>
Bachelor's degree in computer science, data science, statistics, mathematics, or experience and 8 or more years of experience</li><li>
Experience utilizing government-standard AI/Data platforms or enterprise-scale BI tools in a federal setting</li><li>
Expert-level ability to create dashboard-heavy visualizations that simplify complex data for executive leadership</li><li>
Strong SQL skills and experience manipulating and querying data within established architectures</li><li>
Experience with Python and machine learning library such as NumPy or Scikit-learn</li><li>
Exceptional ability to present data findings and interpret analytics for non-technical stakeholders and military leadership</li></ul>
Preferred Qualifications:<ul><li>
Master's degree</li><li>
10+ years of experience</li><li>
Prior experience supporting SOCOM, SOCCENT, or other Special Operations Forces components</li><li>
Experience with Palantir Foundry or Gotham. Knowledge of military operations, logistics, or intelligence data structures</li><li>
Certifications in Data Visualization or Cloud platforms</li></ul>
Clearance Requirements:<ul><li>
Must possess a current and active TS with SCI Eligibility</li></ul>
Physical Requirements:<ul><li>
Must be able to be in a stationary position more than 50% of the time</li><li>
Constantly operates a computer and other office productivity machinery, such as a computer</li><li>
The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations</li><li>
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li></ul></div>

Data Architect

Arbitration Forums Inc.

<div>DEPARTMENT: Data Insights and Innovation
JOB TITLE: Microsoft Azure Data and AI Solution Architect
JOB CODE: MZDASA
REPORTS TO: Chief Innovation Officer
FLSA STATUS: Non-Exempt
EMPLOYMENT TYPE: Contract-to-Perm
JOB PURPOSE:
This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion).
The Microsoft Azure Data and AI Solution Architect will be responsible for designing, developing, and implementing data and AI solutions that meet our business needs. This role will work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to design and implement Azure architectures, and manage Azure services and products as the Azure Data and AI ecosystem.
DEPARTMENTAL EXPECTATION OF EMPLOYEE<ul><li>
Adheres to AF Policy and Procedures and the AF Leadership Brand</li><li>
Acts as a role model within and outside AF.</li><li>
Performs duties as workload necessitates.</li><li>
Maintains a positive and respectful attitude.</li><li>
Communicates regularly with supervisor about Department issues.</li><li>
Demonstrates flexible and efficient time management and ability to prioritize workload.</li><li>
Consistently reports to work on time, prepared to perform duties of the position.</li><li>
Meets Department productivity standards.</li></ul>
ESSENTIAL DUTIES AND RESPONSIBILITIES
Azure Data and AI Ecosystem:<ul><li>
Design, implement, and integrate Azure services such as Azure Data Fabric, Azure Data Factory, OneLake, Purview Unified Catalog, AI Foundry, Machine Learning, Cognitive Services, Power BI, Power Automate, and application services to deliver high quality data and AI products to our members.</li><li>
Generate and spearhead the execution of a multi-year implementation roadmap for the Azure data and AI ecosystem that includes individual components and their integration to create a continuum to support AF&rsquo;s AI-powered solutions.</li><li>
Optimize the Azure data and AI ecosystem to iteratively support growing complexity and more sophisticated operations as new use cases and AI solutions are identified and delivered.</li><li>
Ensure that Azure-based data and AI solutions include embedded metrics to understand performance and aid in maintenance and support activities.</li><li>
Operate and administer AF&rsquo;s data and AI Azure ecosystem to ensure that best practices are utilized and alignment of AF&rsquo;s operating, security and compliance polices are observed.</li><li>
Manage the Azure data and AI ecosystem costs, working with stakeholders to identify and set budgets for Azure services, and monitoring consumption and licensing for Azure data and AI products and services.</li><li>
Orchestrate the utilization of Azure AI suite of products and services to support best practices in the development, testing, integration, and deployment of AI models and algorithms.</li><li>
Coordinate with data engineers and teams, AI engineers and developers, application and infrastructure teams, and data governance and security teams to ensure that deployed AI-powered solutions are ready for hand off to support teams, ensuring knowledge transfer is adequate for the successful maintenance and support of AI solutions.</li><li>
Identify and resolve technical issues related to cloud infrastructure and applications, providing timely support and solutions.</li></ul>
Collaboration and Strategy:<ul><li>
Work closely with IT, data engineers, data analysts, data scientists, and business stakeholders.</li><li>
Provide technical leadership and mentorship to junior data team members.</li><li>
Stay updated on Azure cloud products and services as well as best practices, making recommendations for continuous improvement.</li></ul>
ADDITIONAL DUTIES AND RESPONSIBILITIES<ul><li>
Support data observability and AI explainability efforts to ensure the data continuum and enforce governance standards.</li><li>
Other duties assigned by manager or project needs.</li></ul>
QUALIFICATIONS
Experience, Education and Licensure<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Data Science, or a related field.</li><li>
Minimum of 8 years of experience in cloud architecture, defining end to end ecosystems to support advanced analytics and AI solutions.</li><li>
Relevant Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer Associate) are a plus.</li><li>
Proven experience as a solutions architect in a cloud environment.</li></ul>
Technical Skills:<ul><li>
In-depth knowledge of Azure data services (e.g., Azure Fabric, Azure Data Factory, OneLake, Data warehouse), AI services (AI Foundry, Azure Machine Learning, Azure Cognitive Services, etc.), Azure Application and Integration Services (API Management, Application Gateway, Power Automate).</li><li>
Strong understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>
Experience with programming languages such as Python, R, or SQL, and familiarity with data visualization tools (e.g., Power BI).</li><li>
Strong knowledge of data governance, data security, and compliance practices.</li><li>
Experience with data catalogs and lineage plotting tools.</li><li>
Deep understanding of AI models lifecycles, from initial data sourcing to deployment and production model upkeep.</li><li>
Working knowledge and proficiency in the development of implementation and adoption plans for composable AI offerings, including documentation of configuration requirements.</li></ul>
Soft Skills:<ul><li>
Excellent analytical and problem-solving abilities.</li><li>
Strong communication and interpersonal skills to collaborate with cross-functional teams.</li><li>
Ability to lead projects and mentor junior staff.</li><li>
Auto Insurance claims industry experience preferred.</li></ul>
AMERICANS WITH DISABILITY SPECIFICATIONS
PHYSICAL DEMANDS
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
WORK ENVIRONMENT
This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div>

MS Azure Data and AI Solution Architect

<div>MANTECH seeks a motivated, career and customer-oriented Data Scientist to join our Data and AI Practice onsite in Tampa, FL. In this role, you will design, develop, and implement data science capabilities to achieve client mission goals. You will collaborate with a team of data analysts, data engineers, and data architects to leverage AI, data science, data analytics, and data architecture to deliver client solutions. The ideal candidate will have solid data science skills, a firm understanding of data analytics, and a client-oriented approach to applying technology to develop mission-ready data products that accelerate operational decision-making, enhance situational awareness, and improve mission effectiveness.
Responsibilities include but are not limited to:<ul><li>
Develop and deploy machine learning and AI models to analyze complex datasets (including sensor, intelligence, and biometric data) to forecast adversary trends, identify potential risks, and optimize logistics, force design, and strategic planning.</li><li>
Conduct advanced statistical analysis, data mining, and modeling to derive valuable, data-driven insights and real-time recommendations for decision-making.</li><li>
Create advanced reports, dashboards, and visualizations using tools like Tableau or Power BI to effectively communicate program performance, KPIs, and complex data trends to stakeholders.</li><li>
Collaborate with stakeholders to understand information needs and contribute to the development and implementation of data-driven strategic initiatives.</li><li>
Stay current with the latest advancements in data data science</li></ul>
Minimum Qualifications:<ul><li>
BA/BS in Information Technology, Computer Science, Statistics, Mathematics, Data Science, or a related field, plus a minimum of 4 years of relevant Data Scientist experience.</li><li>
Extensive experience developing predictive models including regression, classification, or time-series forecasting</li><li>
Proven track record of successfully developing and implementing data-driven solutions in data science, data analysis, or a related field.</li><li>
Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.</li><li>
Proficiency in data analysis tools and languages (e.g., Python with pandas, scikit-learn, R, SQL) and experience with data visualization tools (e.g., Tableau, Power BI).</li><li>
Knowledge of data warehousing and data lake concepts, and experience with Big Data technologies (e.g., Hadoop, Spark).</li><li>
Strong analytical and problem-solving skills, with the ability to extract insights and identify patterns, trends, and correlations from complex data sets.</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s degree in Data Science, Information Technology, Cybersecurity, Computer Science, or a related field.</li><li>
Experience with time-series analysis or signal processing, specifically related to sensor data.</li><li>
Familiarity with biometric data standards and identity intelligence workflows.</li><li>
Experience with cloud-based data platforms (e.g., Advana or Palantir Foundry. Knowledge of DevOps principles for deploying AI models into production.</li><li>
Experience supporting DoD programs. Relevant certifications in data science or data analytics.</li></ul>
Clearance Requirements:<ul><li>
Must possess a current and active TS with SCI Eligibility.</li></ul>
Physical Requirements:<ul><li>
Must be able to be in a stationary position more than 50% of the time</li><li>
Constantly operates a computer and other office productivity machinery, such as a computer</li><li>
The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations</li><li>
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li></ul></div>

Data Scientist

<div>MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our Data and AI Practice onsite in Tampa, FL. In this role, you will design, develop, and implement data science capabilities to achieve client mission goals. You will collaborate with a team of data analysts, data scientists, and data architects to leverage AI, data science, and data analytics to deliver client solutions. The ideal candidate will have solid data engineering skills and a client-oriented approach to applying technology to develop mission-ready data products that accelerate operational decision-making, enhance situational awareness, and improve mission effectiveness.
Responsibilities include but are not limited to:<ul><li>
Design, build, and maintain data pipelines and ETL processes to support data science and analytics initiatives, utilizing tools like SQL and big data technologies.</li><li>
Develop and implement ETL processes to extract, transform, and load data from various source systems into target repositories (data warehouses, Data Lakes, etc.).</li><li>
Integrate national intelligence feeds, sensors, and open-source information into a unified data layer.</li><li>
Ensure data quality, integrity, and compliance with security protocols throughout the data lifecycle.</li><li>
Design appropriate data models based on requirements and assist in the development and maintenance of data warehouses.</li><li>
Optimize data pipeline architecture for performance, scalability, and mission-critical analysis.</li><li>
Identify, design, and implement internal process improvements, including automation and infrastructure redesign. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.</li></ul>
Minimum Qualifications:<ul><li>
Bachelor's degree (BA/BS) in a field such as Information Technology, Cybersecurity, or Computer Science and at least 4myears of hands-on experience in data engineering or related roles.</li><li>
Experience developing and optimizing 'big data' data pipelines, architectures, and data sets for use in analysis</li><li>
Proficiency in SQL or other industry-standard data manipulation languages.</li><li>
Demonstrated ability with data integration and ETL tools and concepts (e.g., Informatica, Talend, Apache NiFi).</li><li>
Experience implementing data quality controls.</li><li>
Experience with scalable infrastructure (e.g., cloud platforms, distributed systems) for processing and storing large amounts of data.</li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s degree in Information Technology, Cybersecurity, Computer Science, or related field.</li><li>
Experience with cloud-based data platforms (e.g., Advana or Palantir Foundry)</li><li>
Experience with data visualization tools (e.g., Power BI).</li><li>
Professional certifications (e.g., AWS Certified Data Analytics, CompTIA Security+).</li><li>
Experience at a DoD Combatant Command</li></ul>
Clearance Requirements:<ul><li>
Must possess a current and active TS with SCI Eligibility</li></ul>
Physical Requirements:<ul><li>
Must be able to be in a stationary position more than 50% of the time</li><li>
Constantly operates a computer and other office productivity machinery, such as a computer</li><li>
The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations</li><li>
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li></ul></div>

Data Engineer

<div><div>DEPARTMENT: Data Insights and Innovation</div><div>
JOB TITLE: AI Product Architect</div><div>
JOB CODE: AIPA</div><div>
REPORTS TO: Manager, AI Product and Data Architecture</div><div>
FLSA STATUS: Exempt</div><div>
EMPLOYMENT TYPE: Full-Time</div><h1 class="jobSectionHeader">
JOB PURPOSE:</h1><div>
This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion).</div><div> 
</div><div>The AI Product Architect is responsible for understanding the opportunities brought by emerging technologies and Artificial Intelligence to the end-to-end insurance Claims process. This role evolves AF&rsquo;s current product line functionality via identification of AI-powered capabilities.</div><div> 
As part of an AI-powered solution designing and implementation organization, this role will partner with AF&rsquo;s stakeholders to identify opportunities to embed intelligent decisioning in the claims management ecosystem, modularizing current architecture via re-engineering, modularization and shifting functional architectures to cloud.</div><div> 
The AI Product Architect defines configurable and interoperable AI solutions and plug-and-play scenarios that provide our members and partners with options to realize the value of AF&rsquo;s offerings, while minimizing technical debt and optimizing the value delivered.</div><div> 
This role collaborates with the AI Innovation, Advanced Analytics, Operations, Marketing, Membership Experience, and IT functions to execute strategic plans that bring innovative solutions and excellent value to our members&rsquo; organization.</div><div></div><h1 class="jobSectionHeader"> 
DEPARTMENTAL EXPECTATION OF EMPLOYEE</h1><div><ul><li>
Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model</li><li>
Acts as a role model within and outside AF.</li><li>
Performs duties as workload necessitates.</li><li>
Maintains a positive and respectful attitude.</li><li>
Communicates regularly with the departmental leader about department issues.</li><li>
Demonstrates flexible and efficient time management and ability to prioritize workload.</li><li>
Consistently reports to work on time, prepared to perform duties of the position.</li><li>
Meets Department productivity standards.</li></ul></div><div></div><h1 class="jobSectionHeader"> 
ESSENTIAL DUTIES AND RESPONSIBILITIES</h1><div><ul><li>
Partner with stakeholders to re-engineer the high value functionality of current products and move it from on-prem to cloud.</li><li>
Collaborates in the development of strategies and roadmaps for the sunsetting, refactoring, or redefinition of current functionality in new AI-based architectures on cloud or hybrid environments.</li><li>
Partners with stakeholders to create and maintain functional roadmaps for AI solutions that prioritize the highest value items while removing technical debt.</li><li>
Partner with stakeholders to generate strategies for embedding AI solutions into business processes and applications, with a focus on progressive functionality deployment and modularization.</li><li>
Orchestrate activities to ensure alignment of AI product architecture, software engineering and implementations across the AI product lifecycle.</li><li>
Plan AI-based initiatives, including timeframes and deliverables, and work closely with Advanced Analytics, IT, Marketing, Operations, and AI Innovation to ensure capacity is reserved and obstacles that derail delivery are addressed.</li><li>
Manage AI integration architectures, providing AI-powered functionality with a high level of interoperability, configurability, and modularization.</li><li>
Engage with partners to define marketplace deployment models, ensuring accessibility and integration with existing ecosystems.</li><li>
Collaborate with Membership Experience to define and orchestrate strategies for the success of implementations of AI products with our members, including reviewing solution paths and roadmaps.</li><li>
Works closely with software engineers, AI and data engineers, IT, and other stakeholders to understand requirements and define scalable APIs that meet user needs and business objectives.</li><li>
Collaborates with IT to define and execute strategies for production deployment of solutions, ensuring that solutions can be deployed in the preferred way of our members.</li><li>
Manage the AI product architecture lifecycle end-to-end and represent it in roadmaps and collateral materials.</li><li>
Support members in the identification and prioritization of AI-powered use cases to ensure integration and deployment requirements are considered.</li><li>
Partner with AI QA Engineers and IT QA Testers to ensure that there are test cases to cover integrations and that test scripts are automated when possible.</li><li>
Create feedback loops to understand the impact that AI-based functionality has on our members and end users and socialize the information across AF.</li></ul></div><div></div><div> 
QUALIFICATIONS</div><ul><li>
More than 8 years of experience in operationalization of AI models or high-definition solutions, and integration with business processes and applications.</li><li>
More than 6 years of experience in product architecture, product management, and systems interoperability.</li><li>
Domain and industry knowledge, with deep understanding of how Insurance companies and Claims Management divisions work.</li><li>
Experience with technology-driven transformations and end-to-end AI solutions lifecycle.</li><li>
Deep understanding of machine learning/AI principles and concepts, and how AI solutions integrate with existing business processes or applications.</li><li>
Proficiency in road mapping, definition, and implementation of prioritization frameworks.</li><li>
Expertise in cloud application solutions, API design and management, and marketplace business and deployment models.</li><li>
Experience working with agile teams, writing user stories, and grooming backlogs.</li><li>
Functional knowledge of composable products with a high level of configurability.</li><li>
Working knowledge and proficiency in the development of implementation and adoption plans for composable offerings, including documentation of configuration requirements.</li><li>
Proficiency in the operations of a not-for-profit organization.</li><li>
Knowledge of advanced data analytics platforms and visualization tools to create reports and dashboards in a self-service approach.</li></ul><div>
Technical Skills</div><div><ul><li>
Working knowledge of cloud services (MS Azure, AWS) and data platforms (Azure ADF, Databricks).</li><li>
Experience with AI tools, such as MS Azure AI Foundry, Azure ML, Snowflake Cortex AI, Dataiku.</li><li>
Proficiency in programming languages such as Python, R, or SQL.</li><li>
Experience designing integrations using tools such as MS Azure API Management, Boomi, MuleSoft, and Apigee.</li></ul></div><div></div><div> 
AMERICANS WITH DISABILITY SPECIFICATIONS PHYSICAL DEMANDS</div><div></div><div> 
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div><div>
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.</div><h1 class="jobSectionHeader">
WORK ENVIRONMENT</h1><div>
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div><div>
AF is a remote working environment.</div></div>

AI Product Architect

Citi

<div>The Digital Software Engineering Lead Analyst is a strategic technical leader responsible for designing and engineering enterprise grade Agentic AI solutions capable of integrating data from multiple heterogeneous systems and operating reliably at scale.
You will act as a hands-on architect, engineer, and partner to cross functional teams&mdash;including Data Engineering, Architecture, Enterprise Platforms, and Product&mdash;defining the technical approach, AI system design, and integration patterns needed to build robust fault tolerant AI agents and AI driven automation capabilities.
This role requires deep technical breadth across machine learning, LLMs, data pipelines, cloud engineering, orchestration, and modern AI frameworks. The solutions you design will enable strategic automation, cognitive decisioning, and dynamic multi-agent workflows across the organization.
Key Responsibilities
AI Solution Architecture &amp; Agentic Systems<ul><li>
Design and build agentic AI systems, including autonomous agents, multiagent orchestration, tool use, and adaptive decision-making workflows.</li><li>
Architect fault tolerant, scalable AI solutions using modern agent frameworks (e.g., Google_ADK, LangGraph, LangChain , OpenAI Assistants, CrewAI, AutoGen, custom orchestrators).</li><li>
Define the end-to-end AI system blueprint, including knowledge integration, orchestration, pipelines, observability, governance, and failover strategies.</li><li>
Evaluate and select LLMs, embeddings, vector stores, and middleware best suited for complex enterprise requirements.</li></ul>
Data Integration &amp; Pipeline Engineering<ul><li>
Partner with engineering teams to aggregate, ingest, and harmonize data from multiple systems, including APIs, databases, internal platforms, and unstructured sources.</li><li>
Design robust data pipelines optimized for LLM workloads (e.g., chunking, metadata design, semantic indexing, retrieval strategies).</li><li>
Implement mechanisms for ensuring data freshness, quality, and fault tolerance across distributed systems.</li></ul>
LLM, RAG, and Generative AI Engineering<ul><li>
Build advanced Retrieval-Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization.</li><li>
Develop, tune, and deploy applications leveraging major LLMs (OpenAI, Gemini, Claude, Llama, Mistral, HuggingFace ecosystem).</li><li>
Engineer prompts, system instructions, and reusable prompt templates for deterministic AI behavior.</li><li>
Implement safety guardrails, evaluation pipelines, and bias/error mitigation strategies.</li></ul>
AI Platform Engineering &amp; Deployment<ul><li>
Develop cloudnative GenAI applications using containerized infrastructure (Kubernetes, OpenShift, Docker).</li><li>
Build and support production-grade MLOps / AIOps pipelines, including CI/CD, automated testing, monitoring, model versioning, and rollback strategies.</li><li>
Partner with engineering teams to ensure secure, compliant deployment of all AI workloads.</li></ul>
Technical Leadership &amp; Collaboration<ul><li>
Serve as technical SME for AI engineering patterns, solution design, and architecture.</li><li>
Mentor mid-level engineers and analysts, guiding best practices in AI build patterns and engineering quality.</li><li>
Influence product and platform strategy by providing insights on emerging GenAI and agentic technologies.</li></ul>
Qualification:
Experience<ul><li>
10+ years of experience in software engineering, AI/ML engineering, systems architecture, or related fields.
</li><li>Proven experience designing and deploying enterprisegrade AI Systems in production.</li></ul>
Required Technical Skills
Core AI/ML &amp; GenAI Expertise<ul><li>
Strong foundations in ML, NLP, embeddings, statistics, neural networks, and LLMs.</li><li>
Extensive handson experience with LLMs: Gemini, OpenAI, Claude, Mistral, Llama, opensource models, etc.</li><li>
Deep expertise in RAG architectures, including retrieval optimization, vector search, and semantic data modeling.</li><li>
Experience building agentic AI using Google_ADK or langGraph
</li></ul>Programming &amp; Data Engineering<ul><li>
Strong proficiency in Python and libraries such as: 
Pandas, NumPy, scikitlearn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, LlamaIndex.</li><li>
Hands-on experience with vector databases: Pinecone, PGVector, MongoDB Atlas Vector Search, Neo4j, Milvus, etc.</li><li>
Experience building pipelines for large-scale unstructured data processing.</li></ul>
Cloud, DevOps, &amp; MLOps<ul><li>
Strong CI/CD experience: GitLab CI, Jenkins, Azure DevOps, ArgoCD, GitHub Actions.</li><li>
Expertise deploying GenAI solutions in production using: 
Kubernetes, Docker, Helm, serverless runtimes, or cloud-native LLM services.</li><li>
Experience with monitoring, observability, and logging frameworks relevant for AI workloads.</li></ul>
Soft Skills<ul><li>
Exceptional problem-solving and analytical skills.</li><li>
Ability to execute independently while operating effectively in ambiguity.</li><li>
Strong collaboration skills across engineering, architecture, and product teams.</li><li>
Deep commitment to ethics, transparency, and responsible AI usage.</li></ul>
Preferred Qualifications<ul><li>
Experience building AI systems in regulated or enterprise environments.</li><li>
Experience using knowledge graphs, graph databases, or enterprise metadata systems.</li><li>
Familiarity with AIOps, agent monitoring, or AI governance frameworks.</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree or equivalent experience required.</li><li>
Master&rsquo;s degree preferred.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Digital Software Engineering
-
Time Type:
Full time
-
Primary Location:
Tampa Florida United States
-
Primary Location Full Time Salary Range:
$125,600.00 - $188,400.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Mar 19, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Digital Software Engineering Lead Analyst- Vice President

Realign

<div>Tampa, Florida 33592 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Title: Senior Generative AI Developer 
Location &ndash; Irving, TX / Tampa, FL / Jersey City, NJ (3 Days onsite/week) 
FTE</div><div> 
 
Job Description: 
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.</div><div></div><div> 
Key Responsibilities: 
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions. 
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance. 
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines. 
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. 
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases. 
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP). 
Conduct performance tuning and optimization of AI models and APIs. 
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.</div><div> 
Required Skills &amp; Qualifications 
8+ years of professional experience in software development and system design. 
Strong proficiency in Python and experience with FastAPI for API development. 
Hands-on experience with Generative AI frameworks and RAG architectures. 
Solid understanding of system and architecture design principles for distributed applications. 
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP). 
Familiarity with vector databases, embedding models, and retrieval pipelines. 
Strong problem-solving skills and ability to work in a fast-paced environment.</div><div> 
Preferred Qualifications 
Experience with LLM fine-tuning, prompt engineering, and model evaluation. 
Knowledge of containerization (Docker) and orchestration (Kubernetes). 
Exposure to CI/CD pipelines and DevOps practices.</div> 

Required Skills
CLOUD DEVELOPER SQL APPLICATION DEVELOPER</div>

Senior Generative AI Developer-6

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