genai solutions architect lead engineer - vice president

genai/ml engineer finance tech - associate vice president

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genai solutions architect lead engineer - vice president Jobs in Tampa

genai/ml engineer finance tech - associate vice president Jobs in Tampa

home lending senior counsel - assistant vice president Jobs in Tampa

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senior generative ai developer-1

genai ml engineer finance tech associate vice president

Information Technology Senior Management Forum

<div><div>Posted Date
2/23/2026
</div><div>Description
<div>We are seeking a skilled and passionate GenAI Engineer to join our team in Tampa, FL, and contribute to advancing our AI/ML capabilities within Citi Finance projects. This position focuses on the development and implementation of GenAI solutions, including chatbot development, and working with both structured and unstructured data. The successful candidate will implement cutting-edge GenAI applications for various financial use cases, leveraging strong Python skills and experience in areas like RAG pipelines, vector databases, prompt engineering, LLMs (Llama, Gemini, GPT-4), and dynamic SQL.
Responsibilities<ul><li>
Design, develop, and deploy end-to-end GenAI solutions, including chatbot development, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting. Experience in real-world project implementation is essential.</li><li>
Process and analyze both structured and unstructured data to train and optimize GenAI models, leveraging techniques for information extraction and knowledge representation.</li><li>
Collaborate effectively with a team of AI/ML engineers, contributing to expertise in GenAI technologies and best practices, including RAG pipelines, vector databases, prompt engineering techniques, and chatbot development.</li><li>
Implement best practices for GenAI development, ensuring code quality, security, maintainability, and scalability of production-ready applications.</li><li>
Collaborate with other technical teams to seamlessly integrate GenAI solutions into existing systems and workflows.</li><li>
Utilize text-to-SQL to efficiently query and retrieve data from relational databases, integrating this data into GenAI pipelines.</li><li>
Conduct continuous research and evaluation of emerging GenAI technologies, recommending and implementing relevant solutions.</li><li>
Contribute directly to the codebase and participate in technical decision-making, demonstrating hands-on technical expertise in GenAI implementation.</li><li>
Work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI.</li></ul>
Required Skills and Qualifications<ul><li>
Bachelor's or Master&rsquo;s degree in computer science, Engineering, or a related field.</li><li>
5-8 years of software engineering experience with a strong focus on AI/ML solutions.</li><li>
2+ years of real-world experience in implementing GenAI solutions, including demonstrable experience deploying production-ready GenAI and Chatbot applications.</li><li>
Understanding of GenAI models and architectures, with practical experience applying these models to real-world problems.</li><li>
Strong Python programming skills with extensive experience using relevant packages for GenAI and chatbot development.</li><li>
Experience processing and analyzing both structured and unstructured data, utilizing techniques like NLP and information retrieval.</li><li>
Ability to design and implement RAG pipelines.</li><li>
Hands-on experience with LLMs like Llama, Gemini, and GPT-4.</li><li>
Proficiency in text-to-SQL implementation leveraging LLMs for data extraction and insight generation from relational databases.</li><li>
Experience with cloud platforms and MLOps tools.</li><li>
Good understanding of Agentic AI concepts with POC exposure as an added advantage.</li><li>
Strong understanding of software engineering principles.</li><li>
Excellent communication, collaboration, and problem-solving skills.</li><li>
Experience in utilizing AI tools for development and deployment.</li></ul>
Preferred Qualifications<ul><li>
Experience with financial data and applications.</li><li>
Familiarity with specific GenAI applications in finance.</li><li>
Contributions to open-source projects related to GenAI or machine learning.</li></ul>
Technology Stack<ul><li>
Programming Languages: Python (strong proficiency required), potentially Java or Scala.</li><li>
Python Packages: Transformers, LangChain, LangGraph, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, Requests, Beautiful Soup, SQLAlchemy, and other relevant packages for data processing, web development, chatbot development, and database interaction.</li><li>
Deep Learning Frameworks: TensorFlow, PyTorch</li><li>
GenAI Libraries/Frameworks: Transformers (Hugging Face), LangChain, LangGraph</li><li>
LLMs: Llama, Gemini, GPT-4</li><li>
Vector Databases: PostgresDB</li><li>
Cloud Platforms: AWS, Azure, or GCP</li><li>
MLOps Tools: MLflow, Kubeflow</li><li>
Data Science Libraries: Pandas, NumPy, Scikit-learn</li><li>
Containerization: Docker, Kubernetes</li><li>
Version Control: Git</li><li>
Databases: SQL databases (e.g., PostgreSQL, MySQL, SQL Server) &ndash; experience with text-to-SQL is essential.</li></ul>
Job Description: GenAI Engineer/ AI/ML Engineer - Citi Finance Tech (Tampa, FL, USA)
Role Overview
We are seeking a skilled and passionate GenAI Engineer to join our team in Tampa, FL, and contribute to advancing our AI/ML capabilities within Citi Finance projects. This position focuses on the development and implementation of GenAI solutions, including chatbot development, and working with both structured and unstructured data. The successful candidate will implement cutting-edge GenAI applications for various financial use cases, leveraging strong Python skills and experience in areas like RAG pipelines, vector databases, prompt engineering, LLMs (Llama, Gemini, GPT-4), and dynamic SQL.
Responsibilities<ul><li>
Design, develop, and deploy end-to-end GenAI solutions, including chatbot development, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting. Experience in real-world project implementation is essential.</li><li>
Process and analyze both structured and unstructured data to train and optimize GenAI models, leveraging techniques for information extraction and knowledge representation.</li><li>
Collaborate effectively with a team of AI/ML engineers, contributing to expertise in GenAI technologies and best practices, including RAG pipelines, vector databases, prompt engineering techniques, and chatbot development.</li><li>
Implement best practices for GenAI development, ensuring code quality, security, maintainability, and scalability of production-ready applications.</li><li>
Collaborate with other technical teams to seamlessly integrate GenAI solutions into existing systems and workflows.</li><li>
Utilize text-to-SQL to efficiently query and retrieve data from relational databases, integrating this data into GenAI pipelines.</li><li>
Conduct continuous research and evaluation of emerging GenAI technologies, recommending and implementing relevant solutions.</li><li>
Contribute directly to the codebase and participate in technical decision-making, demonstrating hands-on technical expertise in GenAI implementation.</li><li>
Work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI.</li></ul>
Required Skills and Qualifications<ul><li>
Bachelor's or Master&rsquo;s degree in computer science, Engineering, or a related field.</li><li>
5-8 years of software engineering experience with a strong focus on AI/ML solutions.</li><li>
2+ years of real-world experience in implementing GenAI solutions, including demonstrable experience deploying production-ready GenAI and Chatbot applications.</li><li>
Understanding of GenAI models and architectures, with practical experience applying these models to real-world problems.</li><li>
Strong Python programming skills with extensive experience using relevant packages for GenAI and chatbot development.</li><li>
Experience processing and analyzing both structured and unstructured data, utilizing techniques like NLP and information retrieval.</li><li>
Ability to design and implement RAG pipelines.</li><li>
Hands-on experience with LLMs like Llama, Gemini, and GPT-4.</li><li>
Proficiency in text-to-SQL implementation leveraging LLMs for data extraction and insight generation from relational databases.</li><li>
Experience with cloud platforms and MLOps tools.</li><li>
Good understanding of Agentic AI concepts with POC exposure as an added advantage.</li><li>
Strong understanding of software engineering principles.</li><li>
Excellent communication, collaboration, and problem-solving skills.</li><li>
Experience in utilizing AI tools for development and deployment.</li></ul>
Preferred Qualifications<ul><li>
Experience with financial data and applications.</li><li>
Familiarity with specific GenAI applications in finance.</li><li>
Contributions to open-source projects related to GenAI or machine learning.</li></ul>
Technology Stack<ul><li>
Programming Languages: Python (strong proficiency required), potentially Java or Scala.</li><li>
Python Packages: Transformers, LangChain, LangGraph, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, Requests, Beautiful Soup, SQLAlchemy, and other relevant packages for data processing, web development, chatbot development, and database interaction.</li><li>
Deep Learning Frameworks: TensorFlow, PyTorch</li><li>
GenAI Libraries/Frameworks: Transformers (Hugging Face), LangChain, LangGraph</li><li>
LLMs: Llama, Gemini, GPT-4</li><li>
Vector Databases: PostgresDB</li><li>
Cloud Platforms: AWS, Azure, or GCP</li><li>
MLOps Tools: MLflow, Kubeflow</li><li>
Data Science Libraries: Pandas, NumPy, Scikit-learn</li><li>
Containerization: Docker, Kubernetes</li><li>
Version Control: Git</li><li>
Databases: SQL databases (e.g., PostgreSQL, MySQL, SQL Server) &ndash; experience with text-to-SQL is essential.</li></ul>
Location
Tampa, FL
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Tampa Florida United States
-
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00 
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:
Feb 27, 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>
</div><div>Salary
96,960.00 - 145,440.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

GenAI/ML Engineer Finance Tech - Associate Vice President

<div><div>Posted Date
2/23/2026
</div><div>Description
<div>The GenAI Solutions Architect/Lead Engineer is a senior level position responsible for establishing and implementing new or revised GenAI application systems and programs in coordination with the Technology team. The overall objective of this role is to be highly hands-on with a capacity to manage the team for applications systems analysis and programming activities.
We are seeking a highly skilled and motivated GenAI Solutions Architect/Lead Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Proven real-world experience implementing GenAI solutions, particularly those involving Large Language Models (LLMs), Retrieval Augmented Generation (RAG) implementations, and chatbot development for both structured and unstructured data, is essential. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.
Responsibilities:<ul><li>
Highly Hands-on GenAI Development: Actively design, develop, and implement complex AI/ML models and algorithms, with a strong focus on Generative AI techniques (e.g., LLMs, GANs, VAEs) for financial applications. This includes hands-on coding, prototyping, and deploying GenAI solutions.</li><li>
RAG Implementation Expertise: Lead the design and implementation of Retrieval Augmented Generation (RAG) systems to enhance the accuracy and contextuality of GenAI outputs, particularly in handling financial data and domain-specific queries.</li><li>
Chatbot Development (Structured &amp; Unstructured Data): Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources (e.g., databases, APIs) and unstructured data (e.g., documents, emails, free text). This includes leveraging GenAI for natural language understanding and generation in complex conversational flows.</li><li>
Document Processing &amp; OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models.</li><li>
Dynamic SQL Generation using LLM: Develop and deploy solutions leveraging Large Language Models to dynamically generate SQL queries from natural language requests, facilitating data access and analysis from structured databases.</li><li>
Python Development &amp; Ecosystem Mastery: Utilize advanced Python programming skills to build, optimize, and deploy GenAI solutions. This includes extensive experience with relevant Python packages (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, numpy, FastAPI).</li><li>
Large Language Model (LLM) Application: Deep practical experience with various LLM architectures, fine-tuning, prompt engineering, and their application to solve complex financial challenges like natural language understanding, text generation, summarization, and question answering.</li><li>
Data Analysis &amp; Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate for data augmentation or synthetic data generation.</li><li>
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference.</li><li>
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to understand requirements, translate them into technical solutions, and incorporate GenAI possibilities into the discussion, ensuring appropriate integration of functions to meet goals.</li><li>
System Enhancements &amp; Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI components seamlessly.</li><li>
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI where it can offer innovative solutions.</li><li>
Tool &amp; Technology Evaluation: Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks, libraries, and cloud AI services (e.g., AWS SageMaker, Azure ML, Google AI Platform).</li><li>
Documentation &amp; Monitoring: Develop and maintain comprehensive documentation for AI/ML models and systems, specifically addressing GenAI implementations. Manage and monitor the performance, efficiency, and reliability of deployed AI/ML models, including evaluating the effectiveness of GenAI components in production.</li><li>
Mentorship &amp; Leadership: Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary and fostering a culture of innovation and continuous learning in GenAI.</li><li>
Risk Assessment: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, especially concerning responsible AI and GenAI ethics.</li></ul>
Qualifications:<ul><li>
Experience: 10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions.
</li><li>Technical Proficiency:<ul><li>
Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development.</li><li>
Proven mastery of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies.</li><li>
Hands-on experience with Retrieval Augmented Generation (RAG) implementations, including vector databases (e.g., Pinecone, FAISS, ChromaDB), embedding models, and efficient retrieval mechanisms.</li><li>
Strong experience in chatbot development, particularly in building conversational AI systems that interact with both structured and unstructured data sources.</li><li>
Experience with document processing, information extraction, and OCR technologies for integrating unstructured data into GenAI workflows.</li><li>
Proficiency in leveraging LLMs for dynamic SQL generation and natural language to code tasks.</li><li>
Proficiency with key Python AI/ML libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, scikit-learn, pandas, and numpy.</li><li>
Experience with MLOps practices, version control (Git), and collaborative development environments.</li></ul></li><li>
Project Management: Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework.</li><li>
Subject Matter Expertise: Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred.</li><li>
Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.</li><li>
Communication: Consistently demonstrates clear and concise written and verbal communication, capable of articulating complex technical concepts to both technical and non-technical stakeholders.</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree/University degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent experience.</li><li>
Master&rsquo;s degree or Ph.D. preferred, especially with a focus on Artificial Intelligence, Machine Learning, or Natural Language Processing.</li></ul>
We are seeking a highly skilled and motivated AI/ML Engineer to join our dynamic team supporting Finance. This role will focus on developing and implementing cutting-edge AI/ML solutions, including Generative AI, for various financial applications. The ideal candidate will possess a strong understanding of machine learning algorithms, statistical modeling techniques, and experience working with large datasets. Experience with Citi applications and systems is highly desired. This role offers the potential for growth into a leadership position.
Responsibilities:<ul><li>
Design, develop, and implement AI/ML models and algorithms, including exploring and applying GenAI techniques, for financial applications.</li><li>
Analyze large datasets, identify patterns, and extract actionable insights, leveraging GenAI capabilities where appropriate.</li><li>
Build and maintain data pipelines for data ingestion, processing, and transformation, considering the specific requirements of GenAI models.</li><li>
Collaborate with business stakeholders to understand requirements and translate them into technical solutions, incorporating GenAI possibilities into the discussion.</li><li>
Evaluate and select appropriate AI/ML tools and technologies, including specialized GenAI frameworks and libraries.</li><li>
Develop and maintain documentation for AI/ML models and systems, specifically addressing GenAI implementations.</li><li>
Manage and monitor the performance of deployed AI/ML models, including evaluating the effectiveness and efficiency of GenAI components.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Tampa Florida United States
-
Primary Location Full Time Salary Range:
$113,840.00 - $170,760.00 
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:
Feb 27, 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>
</div><div>Salary
113,840.00 - 170,760.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

GenAI Solutions Architect Lead Engineer - Vice President

JPMorganChase

<div>JOB DESCRIPTION 
Become an attorney in the Home Lending Legal Department where you can support one of the world&rsquo;s most innovative and respected banks, belong to a world-class legal department, and become an expert and trusted legal professional.
Job Summary
As Home Lending Counsel - Assistant Vice President within our Legal organization, you will spend your day collaborating with other legal professionals and supporting various partners within the Home Lending business. In this role, you will be able to act autonomously as a subject matter expert in addressing and resolving various issues relating to the origination, servicing and disposition of mortgage loans. You will have a demonstrated ability to collaborate with and influence their peers. You will continuously seek opportunities to develop new skills, maintain an open mind, and a keen intellectual curiosity.
The Legal Department at JPMorgan Chase &amp; Co. manages legal and other risks, advises on products, services and transactions, interprets laws and regulations that impact the firm, and advises the firm on other matters. Our global team is made up of 2,000 lawyers and legal professionals with a reputation as thought leaders who deliver best-in-class services. As trusted advisors, we help the firm&rsquo;s clients while also safeguarding the integrity of the firm. We are committed to a culture of inclusivity and belonging, where people can grow and succeed throughout their careers while working for a first-in-class financial institution doing cutting-edge work. If these values resonate with you, we would like to hear from you.
Job responsibilities<ul><li>
Provide legal advice and support to the originations, servicing and capital markets business teams within the Home Lending operations</li><li>
Actively contribute to the success of the Home Lending legal team through team collaboration
</li><li>Provide support to the Home Lending legal team with special projects, escalated matters, transactions and research of federal and state laws and investor requirements</li><li>
Perform loan-level title and legal reviews to ensure first-lien position, advise on complex vesting and real property issues (e.g., trusts, LLCs, guardianships, conservatorships, POAs), cure title defects, and address state law matters.</li><li>
Lead team projects and serve as a subject matter expert for various assigned legal matters
</li></ul>Required qualifications, capabilities, and skills<ul><li>
Minimum 2 years of legal experience with a mortgage company, bank or law firm</li><li>
Law Degree and membership in jurisdictional organization. Attorney candidates must be in compliance with all relevant licensing requirements including the requirements of the jurisdiction where the role will be located prior to commencement of employment.</li><li>
Demonstrated ability to thrive in team environments and work effectively with a diverse group of stakeholders</li><li>
Solve problems with collaboration, creativity, and practicality
</li><li>Display strong analytical, organization, time-management and communication skills
</li><li>Possess legal research skills</li><li>
Ability to adapt to change effectively and exercise sound judgment
</li><li>Experience as an attorney with a mortgage company or bank
</li><li>Knowledge of the mortgage originations, servicing and capital markets industry and structure
</li></ul>Preferred qualifications, capabilities, and skills<ul><li>
Experience as an attorney with a mortgage company or bank
</li><li>Knowledge of the mortgage originations, servicing and capital markets industry and structure
</li></ul>All candidates for roles in the Legal department must be licensed to practice law in the country of employment and successfully complete a conflicts of interest clearance review prior to commencement of employment.
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
<div>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div><div> 
 
</div><div>With large, global operations, the Legal team tackles complex issues and helps shape the regulations that affect the businesses. The group is organized into practice groups that align with the lines of business and corporate staff areas, which encourages collaboration on legal, regulatory and business developments as they arise.</div></div>

Home Lending Senior Counsel - Assistant Vice President

Realign

<div>Tampa, Florida 33592 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
Role - Python Developer&ndash; Generative AI &amp; Cloud (Agentic AI) 
Location - Tampa, FL and Jersey City, NJ (3 Days onsite/week) 
FTE 
Job Description:<ul><li>Strong hands‑on experience in Python development for AI/ML workloads</li><li>Practical exposure to Generative AI models (LLMs, transformers, diffusion models)</li><li>Understanding/practical knowledge on Agentic AI frameworks</li><li>Experience working with cloud‑native AI services on GCP/AWS/Azure</li><li>Understanding of privacy‑preserving ML techniques and responsible AI practices</li><li>Experience working with prompt engineering including tool calling and guardrails</li><li>Familiarity with MLOps pipelines, model deployment, and monitoring</li><li>Ability to design scalable, production‑ready AI solutions</li></ul>
Key Responsibilities:<ul><li>Design, develop, and optimize Python‑based AI/ML applications</li><li>Build, fine‑tune, and deploy Generative AI solutions using modern frameworks</li><li>Integrate AI models with cloud platforms and managed AI services</li><li>Develop scalable APIs and microservices supporting AI workloads</li><li>Collaborate with data scientists, ML engineers, and product teams to deliver end‑to‑end solutions</li><li>Implement CI/CD pipelines ensuring code quality, testing, and security</li><li>Monitor and optimize performance, reliability, and cost of cloud AI deployments</li><li>Ensure compliance with data privacy, security, and responsible AI guidelines</li></ul>
Required Skills
CLOUD DEVELOPER SQL APPLICATION DEVELOPER</div>

Python Developer– Generative AI & Cloud (Agentic AI)

Tetra Tech

<div>The Opportunity
Tetra Tech is adding a Project Manager to our Tampa, FL office. The ideal candidate will manage municipal water and wastewater projects including collection and conveyance systems, pump stations, storage and treatment facilities, and rehabilitation projects. The successful candidate will have experience with permitting, hydraulic design, water distribution and treatment, wastewater collection and treatment, and construction administration. 
Why Tetra Tech
At Tetra Tech, we are Leading with Science to solve the world&rsquo;s most complex challenges. Our industry-leading experts in engineering and consulting are committed to driving positive change in communities around the world. For over 50 years, we have been at the forefront of innovation and sustainability. Today we stand as a market leader, offering cutting-edge solutions in water, environment, energy, and international development. Our work has improved more than 625 million lives around the world. 
Your Impact
Join Tetra Tech to make a real difference. Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class scientists and engineers to create meaningful change around the world. Discover your full potential &ndash; join us to advance your career while leaving a lasting legacy. 
Position Summary
 As a Project Manager, you will lead teams in the planning, design, and delivery of complex water and wastewater infrastructure projects. You will act as the primary point of contact for municipal clients, manage budgets and schedules, and ensure quality execution across all phases of design and construction. 
Essential Job Functions
The following duties are considered essential to the role. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.<ul><li>
Serve as the primary point of contact for major municipal clients.</li><li>
Market existing and potential clients, and assist in the preparation of proposals and business development strategies.</li><li>
Prepare and manage project budgets utilizing Tetra Tech&rsquo;s project management tools.</li><li>
Lead planning, evaluation, and selection of preferred design alternatives for multidisciplinary project teams.</li><li>
Perform conceptual and detailed design calculations and analyses.</li><li>
Prepare detailed engineering reports, supporting documents, construction drawings, specifications, and cost estimates.</li><li>
Provide construction-phase services including meetings, site visits, and field coordination.</li><li>
Ensure standard engineering practices, quality documentation, and compliance across all deliverables.</li><li>
Review and interpret specifications and drawings, recommending and documenting design modifications as needed.</li><li>
Plan, coordinate, and execute work in a safe, timely, cost-effective, and compliant manner.</li><li>
Collaborate with the Regional Manager and local staff to develop and manage clients, proposals, and project delivery.</li><li>
Demonstrate a proven track record of successfully managing and executing profitable client assignments.</li></ul> 
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Civil or Environmental Engineering</li><li>
Professional Engineer (PE) license in Florida required.</li><li>
Minimum of 6 years of progressive experience in municipal or industrial water/wastewater engineering.</li><li>
Valid U.S. driver&rsquo;s license with an acceptable driving record.</li><li>
Experience delivering technical and business presentations or willingness to be trained.</li><li>
Demonstrated ability to plan, develop, coordinate, and manage multidisciplinary projects and pursuits.</li><li>
Strong understanding of industry trends, strategic planning, and ability to translate these into actionable business strategies.</li><li>
Proven ability to motivate and lead teams, fostering collaboration and performance excellence.</li><li>
Demonstrated experience preparing proposals and mentoring junior engineers and staff.</li></ul> 
Preferred Qualifications<ul><li>
Master&rsquo;s degree in Civil or Environmental Engineering.</li><li>
10+ years of progressive experience managing municipal water/wastewater infrastructure projects.</li><li>
Experience leading multidisciplinary design teams on large, complex projects.</li><li>
Established client relationships within the Florida municipal market.</li><li>
Familiarity with design-build or alternative delivery methods.</li><li>
Proficiency in hydraulic modeling software such as WaterGEMS, SewerGEMS, or similar tools.</li><li>
Experience mentoring engineering staff and developing project management talent.</li></ul> 
Physical Requirements
Prolonged periods sitting at a desk and working on a computer. Occasionally required to stand, walk, climb, bend, or lift up to 25 pounds. May include occasional field work in outdoor environments with variable weather conditions. 
Work Environment / Environmental Factors
Work will primarily be performed in an office environment with occasional field visits. Field work may involve exposure to varying weather conditions, uneven terrain, and moderate noise levels. 
Life at Tetra Tech
The perks of working at Tetra Tech include:<ul><li>
Comprehensive and market-competitive benefits.</li><li>
Merit-based financial rewards.</li><li>
Flexibility and company-wide commitment to work/life balance.</li><li>
Collaborative team atmosphere that values the contributions of all employees.</li><li>
Learning and development opportunities for ongoing professional growth.</li></ul>
<div><div>About Tetra Tech:</div>
<div>
Tetra Tech is the leader in water, environment, and sustainable infrastructure, providing high-end consulting and engineering services for projects worldwide. With 30,000 employees working together, Tetra Tech provides clear solutions to complex problems by Leading with Science&reg; to address the entire water cycle, protect and restore the environment, design sustainable and resilient infrastructure, and support the clean energy transition.</div> 
<div></div>
<div>
Tetra Tech is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. Tetra Tech is a VEVRAA federal contractor and we request priority referral of veterans.</div> 
<div></div>
<div>
We invite applications from all interested parties.</div> 
<div>
</div><div>Explore our open positions at https://www.tetratech.com/careers. Follow us on social media to learn more about our people, culture, and opportunities:</div>
<div>
LinkedIn: @TetraTechCareers</div>
<div>
X (Twitter): @TetraTechJobs</div></div></div>

Project Manager - Water/Wastewater

Arbitration Forums Inc.

<div>DEPARTMENT: Data Insights and Innovation
JOB TITLE: Senior Cloud Data Engineer
JOB CODE: SCDE
REPORTS TO: Lead Cloud Data Engineer
FLSA STATUS: Exempt
EMPLOYMENT TYPE: Full-Time
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 Senior Cloud Data Engineer will be responsible for designing, developing, and implementing robust, scalable, and secure data pipelines for modern cloud platforms to support analytics and AI/ML needs at Arbitration Forums, Inc. This role will streamline data acquisition from different data sources and set up processes to ensure data quality and data security.
DEPARTMENTAL EXPECTATION OF EMPLOYEE<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>
ESSENTIAL DUTIES AND RESPONSIBILITIES
Data Engineering &amp; Pipeline Development:<ul><li>
Design, develop, and implement robust, scalable, and secure data pipelines in a cloud environment.</li><li>
Build and manage ETL/ELT processes to efficiently move and transform large datasets from multiple data sources.</li><li>
Implement secure data access, encryption, and data masking policies.</li><li>
Develop automated processes to validate data quality and data accuracy.</li><li>
Document and maintain data workflows and diagrams.</li><li>
Work with data scientists and AI specialists to automate model deployment lifecycles (MLOps).</li></ul>
Data pipeline/warehouse management<ul><li>
Configure and maintain cloud-based data warehousing solutions.</li><li>
Optimize data warehouse storage strategies to support analytics and data science needs.</li><li>
Set up monitoring tools and alerts to maintain data warehouse availability and reliability.</li><li>
Troubleshoot, profile, and optimize data pipelines for performance issues to minimize latency.</li></ul>
Collaboration<ul><li>
Work closely with data architects, data analysts and data scientists to understand their data needs and translate them into technical designs.</li><li>
Mentor and guide junior data engineers, perform code reviews, and establish best practices for could data engineering.</li><li>
Collaborate with DevOps and ITOps to implement CI/CD pipelines and robust DR strategies.</li></ul>
QUALIFICATIONS<ul><li>
Bachelor&rsquo;s degree in computer science, Computer Engineering, Information Systems, or a related field.</li><li>
7+ years of experience in data engineering with a focus on cloud data engineering.</li></ul>
Technical Skills:<ul><li>
Profound understanding of major cloud platforms (AWS, GCP, Azure) and major cloud data platforms like Snowflake and Databricks.</li><li>
Hands-on experience with data services offered by cloud platforms.</li><li>
Expertise in programming languages such as Python, Java, or Scala with strong SQL skills.</li><li>
Experience with ETL/ELT tools like Talend, DBT, Azure Data Factory, etc.</li><li>
Experience with CI/CD tools like GitLab/GitHub.</li><li>
Strong knowledge of data governance, data security, and compliance practices.</li><li>
Experience supporting data science and machine learning operations.</li><li>
Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau).</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>
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>

Senior Cloud Data Engineer

LTIMindtree

<div>Role description 
Title: Java Full Stack - AI Engineer

Location: Tampa, FL

Join our pioneering team as a Full Stack AI Engineer and be at the forefront of building the next generation of intelligent AI powered products that redefine user experiences and solve complex business challenges This pivotal role empowers you to own the entire solution stack from intuitive frontend interfaces to robust backend infrastructure and cutting edge agentic AI systems You will play a critical role in designing developing and deploying high impact AI driven solutions driving engineering excellence and influencing our software architecture Were seeking a passionate problem solver who thrives in a collaborative agile environment dedicated to crafting innovative solutions and contributing to vibrant technical community.

Key Responsibilities
<ul><li> Pioneer Full Stack AI Application Development Design develop and deploy transformative end-to-end applications leveraging modern web frameworks React Next.js Fast API, Python Java with Large Language Models LLMs at their core</li></ul>
<ul><li> Architect Agentic AI Systems Lead the design and implementation of sophisticated autonomous agents capable of multistep reasoning planning and dynamic task execution using frameworks like LangChain LangGraph or AutoGen</li></ul>
<ul><li> Innovate RAG Pipeline Design Architect and optimize production grade Retrieval Augmented Generation RAG pipelines focusing on advanced embedding strategies efficient vector database management Pinecone Milvus Chroma and superior retrieval performance</li></ul>
<ul><li> Build Scalable Backend API Integrations Develop highly performant asynchronous backend services that seamlessly integrate LLMs external APIs and tools ensuring exceptional reliability and ultralow latency</li></ul>
<ul><li> Optimize Data Database Management Strategically manage structured and unstructured data overseeing both traditional SQL NoSQL databases and advanced vector databases to enable context aware and intelligent AI systems</li></ul>
<ul><li> Champion Engineering Excellence Agile Delivery Drive best practices in code quality unit testing CICD and security Act as a strong contributor within an Agile software delivery team collaborating to achieve sprint goals and actively participating in the broader technical community and Agile Scrum processes</li></ul>

Required Qualifications:
<ul><li> 5 years of progressive professional software engineering experience with a minimum of 2 years dedicated to building and deploying Ai powered solutions</li></ul>
<ul><li> Expert proficiency in Python Java or Typescript JavaScript coupled with a profound understanding of Data Structures and Object Oriented Principles</li></ul>
<ul><li> Extensive hands on experience with Large Language Models LLMs eg OpenAI GPT Anthropic Claude Gemini Llama including finetuning techniques and advanced prompt engineering</li></ul>
<ul><li> Proven expertise in designing and implementing RAG architectures encompassing embedding strategies vector stores and semantic search</li></ul>
<ul><li> Deep experience with microservices designing and implementing RESTful, Graph QL, APIs and practical application of containerization technologies Docker, Kubernetes, OpenShift</li></ul>
<ul><li> Demonstrated experience with modern web stacks React Next.js Tailwind CSS JavaScript TypeScript etc</li></ul>
<ul><li> Practical experience with Agentic frameworks LangChain, LangGraph, AutoGen Crew AI etc including designing implementing and orchestrating multiagent systems</li></ul>
<ul><li> Solid understanding and practical application of frameworks such as Spring Boot Fast API Express etc</li></ul>
<ul><li> Significant experience working within agile and iterative software delivery methodologies SAFe SCRUM Kanban</li></ul>
<ul><li> Proficiency in various database technologies including advanced SQL and vector databases Oracle PostgreSQL MongoDB Aurora Pinecone pg vector etc</li></ul>
<ul><li> Experience with event driven design and architecture eg: SQS SNS Kinesis Kafka Spark Flink RabbitMQ</li></ul>
<ul><li> BTech BE Eng degree or equivalent work experience</li></ul>
<ul><li> Preferred Qualifications</li></ul>
<ul><li> Experience in designing and implementing complex multiagent collaboration architectures</li></ul>
<ul><li> Familiarity with AI driven development tools eg: Cursor Claude Copilot to enhance productivity</li></ul>
<ul><li> Proven architectural experience in building horizontally scalable highly available highly resilient and low latency applications</li></ul>
<ul><li> Experience with both on premise and public cloud infrastructure eg: OpenShift AWS including Infrastructure as Code tools eg: Terraform CloudFormation</li></ul>
<ul><li> Knowledge of Security Observability and Monitoring tools eg: Grafana Prometheus Splunk ELK CloudWatch</li></ul>
<ul><li> Prior experience mentoring and providing technical leadership to teams of 5 or more developers</li></ul>
<ul><li> Familiarity with Job Schedulers eg Apache Workflow Autosys CloudWatch</li></ul> 
Skills 
Mandatory Skills : AI/GenAI Research, Java, React, Spring 
Other details 
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $79,851.00 to $107,720.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Java Full Stack AI Engineer (Senior Software Engineer)

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