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1d ago

AI Engineer

Wipro Limited Austin, TX

Austin, TX

1d ago

$60k - $135k/yr Full time Agentic Ai Ai Engineer Ai Engineering

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Job Description

Wipro Limited is seeking a Senior AI Engineer to lead AI-focused workflows across the System Development Life Cycle, combining hands-on GenAI development with production deployment experience in complex, financial-domain environments that support retirement security.

Role Overview

This position focuses on building intelligent systems and AI-enabled workflows that operate across implementation, testing, and operational support. The role requires practical use of GenAI coding assistants in day-to-day engineering workflows, with clear ownership for correctness and quality, and the ability to apply engineering judgment in validation.

Key Responsibilities

Lead AI-focused workflows across the System Development Life Cycle.
Build intelligent systems that directly impact millions of people’s retirement security.

Required Skills and Qualifications

Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC (implementation, refactoring, unit testing, regression support, code reviews, scripting or automation, troubleshooting, and documentation), applying engineering judgment and validation.
Practical familiarity with tools such as GitHub Copilot or Claude Code.
Use AI assistance for common development tasks (code suggestions, test generation, review support, automation scripts, and troubleshooting) with clear ownership for correctness and quality.
Apply GenAI to reduce context switching and accelerate delivery across typical engineering workflows, including but not limited to new code creation.
Practical familiarity with GitHub Copilot and/or Claude Code in IDE or CLI-style workflows.
Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, including establishing team-level practices for effective AI-assisted development.
Bachelor’s degree in computer science, Software Engineering, or a related technical field, or equivalent practical experience.
Hands-on experience in software engineering delivering large-scale systems using Java, Spring framework, cloud development, and web services supporting high volume transactions in a highly available environment.
Hands-on experience with AI/ML implementation and production deployment.
Hands-on experience with containers and microservices in the cloud.
Hands-on experience with cloud deployment within a continuous integration and continuous delivery model (CI/CD).
Hands-on experience with Pivotal Cloud Foundry (PCF), or AWS or GCP.
Hands-on experience with databases including MongoDB, Aerospike, and/or PostgreSQL.
Experience in IT transformations and system modernization initiatives from legacy to distributed platforms (for example, Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB).
Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM).
Understanding of broker-dealer capabilities and operations.
Excellent communication skills with proven ability to communicate and lead other engineers in a collaborative environment.
Collaborative mindset with a bias for action to engage with developers, architects, and adjacent teams.
AI ML Solution Architecting.

Technologies

GenAI coding assistants
GitHub Copilot, Claude Code
Agentic workflows
Java, Spring framework
Cloud development, Web Services
AI/ML
Containers, microservices
CI/CD
Pivotal Cloud Foundry (PCF)
AWS, GCP
MongoDB, Aerospike, PostgreSQL
Mainframe Cobol, DB2
Large Language Models (GPT-5, Claude, Gemini, PaLM)

Experience Level

Experience range: 5-8 years
Minimum experience: 5 years

Education

Bachelor’s degree in computer science, Software Engineering, or related technical field, or equivalent practical experience

Preferred Qualifications

Master’s degree in Information Technology, Computer Science, related degree, or related practical experience
Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent)
Experience in the Financial Services industry
Experience in Test Driven Development (TDD), QA Automation, and quality mindset and behaviors
Proficient in developing Visio diagrams, architectural and design documentation, functional and technical specifications, and automated test process
Willingness to learn all aspects of the tech stack and document work
Ability to research and document production and test environments along with architecture and design work
Knowledge of Agile methodology and experience in an Agile working environment
Experience with the Atlassian tool stack (JIRA and Confluence)

Domain Expertise

Understanding of broker-dealer capabilities and operations

Location and Work Setup

Austin, Texas (onsite)

Compensation

USD 60,000 - 135,000 per yearly

Benefits

Full range of medical and dental benefits options
Disability insurance
Paid time off (inclusive of sick leave)
Other paid and unpaid leave options

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1d ago

Sr AI Engineer - Data

MeridianLink Remote 🇺🇸 Remote

Remote

1d ago

$126k - $215k/yr Full time Backend Developer Artificial Intelligence Data

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Job Description

MeridianLink builds financial products for credit unions, and this role helps deliver data-heavy capabilities that run in production. This position is US remote and includes a compensation range of $126,000 to $214,900 per year. You will work within Research & Development while leveraging AI agents as part of the engineering workflow, with engineers setting direction and reviewing output as they own what ships.

Benefits

Insurance coverage (medical, dental, vision, life, and disability)
Flexible paid time off
Paid holidays
401(k) plan with company match
Remote work

How you will work

AI agents are integrated into the team’s day-to-day engineering process. The agents support meaningful implementation work, while engineers review and own the code that goes into production. You will also use and improve the agents to help shape what comes next.

Responsibilities

Own data-heavy features from design through production, planning pragmatic solutions as traffic and data volume grow
Improve data models, pipelines, migrations, and multi-tenant systems
Build in a TypeScript monorepo using Hono and Drizzle/Postgres, with serverless AWS infrastructure managed with SST/Pulumi across Lambda, SQS, EventBridge, and S3
Monitor production systems, investigate issues, and fix root causes
Support the team in making clear, practical technical decisions

Requirements

5+ years building, scaling, and running production software
Strong backend engineering skills in a typed language, including experience integrating third-party and public APIs such as OpenAI or Anthropic Claude
Experience with relational data modeling, migrations, and production data systems
Sound judgment when working with sensitive data and high-impact changes
Current, hands-on experience using AI coding tools and reviewing their output
Clear written communication, product sense, and comfort owning work end to end
Experience with TypeScript, Postgres, serverless AWS, or event-driven systems is useful (exact framework overlap not required)

Tech stack: TypeScript, Hono, Drizzle/Postgres, Postgres, AWS, SST/Pulumi, Lambda, SQS, EventBridge, S3, Terraform, AWS CDK, React 19, React Router 7, OpenAI, Anthropic Claude.

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1d ago

Senior Cyber Security Engineer - Data/AI

Universal Orlando Orlando, FL

Orlando, FL

1d ago

Full time Senior Ai Security Cloud Platforms

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Job Description

Universal Orlando is hiring a Senior Cyber Security Engineer (Data/AI) for an onsite role in Orlando, FL.

Responsibilities

Support UDX in the secure design, implementation, and deployment of systems; validate security designs as requested by the business; help ensure the UDX network is secure
Work through complex technical and integration challenges using creative and secure approaches
Help create and define security practices for UDX networks using an intelligence and threat-driven defense model
Identify key risks and communicate security posture to senior leadership
Build strong relationships across UDX business units
Mentor junior security engineers and architects
Lead and contribute to communities of excellence as appropriate
Lead initiatives to help realize the technology vision
Collaborate with other cyber security teams to define and document a 3-5 year security technology vision and roadmap
Actively participate in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training, and team member involvement activities
Perform other duties as assigned

Requirements

Bachelor’s degree in Computer Sciences, Information Systems, or Cyber Security (required)
7+ years of demonstrated experience working in a technical area as part of a large team (required): Software Engineering, Computer Engineering, DevSecOps, Infrastructure, Networking, Cyber Security, or Architecture
Experience with large-scale networks, routing protocols, and network security components
Experience working with emerging technologies such as GenAI, VR, Robotics
Extensive knowledge and experience with applicable data security, compliance, and privacy legal and regulatory frameworks (preferred)
Ability to produce high-quality technical documentation
Experience performing Threat Analysis and modeling using industry frameworks such as MITRE ATT&CK, including implementation of robust security measures
Empathy for engineering teams, with ability to balance security guidelines and policies with operational needs to maintain the desired end-state corporate security posture

Relevant Technologies

Azure OpenAI services
GenAI
MITRE ATT&CK
VR
Robotics

Additional Information

AI/ML: In-depth knowledge of generative AI platforms such as Azure OpenAI services, including various models, underlying technologies, and safety/security risks
Data & Storage: Experience designing and enforcing data classification, encryption, key management, DLP, and privacy controls; familiarity with AI data lifecycle risks, regulatory requirements, and secure data handling for training and inference workloads
Cloud Security: Experience designing and securing cloud and hybrid environments, including identity architecture, network segmentation, workload protection, logging/monitoring, and secure configuration management; strong understanding of cloud-native security controls, shared responsibility models, and posture management across modern infrastructure platforms

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1d ago

AI Engineer

LawPro.ai Virginia

Virginia

1d ago

Full time Ai Engineering Artificial Intelligence Engineering

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Job Description

LawPro.ai is building AI-powered data insights and analytics, and they’re hiring an AI Engineer in Virginia (onsite) to own the evaluation, selection, and continuous optimization of large language models and AI processes. This role blends AI research with production engineering, with end-to-end responsibility for model transitions, pipeline optimizations, monitoring, and documentation.

What you’ll deliver

Run a systematic, ongoing process to evaluate new and emerging LLMs on accuracy, relevancy, speed, and cost, continuously benchmarking against the specific tasks in the orchestration pipeline.
Design and operate rigorous Evals and build an internal EvalOps culture to measure output accuracy, relevance, faithfulness, and speed, with focused effort on reducing hallucinations in medical record summarization and legal document analysis.
Track provider changes across the LLM landscape to identify deprecation timelines, then execute full transitions by integrating replacement models into the production pipeline and updating for model behavior differences.
Improve LLM-based orchestration for document understanding, medical record summarization, case chronology generation, and drafting support by implementing code changes, deployments, and production validation from start to finish with a bias for surgical execution.
Communicate evaluation findings with product and GTM stakeholders, then lead the technical implementation directly to ensure frictionless handoffs between discovery, staging, and live production deployments.
Ship model changes into production by writing integration code, managing deployments, running validation tests, and ensuring clean rollouts.
Implement monitoring and observability for model performance, including benchmarking outputs and cost, detecting drift, and reporting continuously to management using micro-benchmarking to track token-level latency, output drift, and cost efficiency across pipeline components.
Maintain thorough documentation covering evaluation methodologies, model comparison results, transition decisions, and runbooks for the systems you own.

What you bring

5+ years of AI/ML engineering experience evaluating, fine-tuning, and deploying large language models in production, including building and deploying models to AWS or GCP infrastructure at scale.
Hands-on development and implementation of multiple RAG solutions.
Hands-on experience leveraging embedding models and vector databases.
Hands-on experience building agentic workflows and implementing practical EvalOps or Evals-as-a-Service architecture.
Deep familiarity with the LLM ecosystem, with ability to assess model capabilities, limitations, and fit using tradeoffs across routing, cost, quality, speed, and capability.
Proven experience designing evaluation frameworks for output quality measurement, including hallucination detection in high-stakes domains (legal, medical, or similar).
Strong software engineering foundation with production experience building LLM orchestration frameworks and multi-model pipelines.
Comfort working in a fast-paced, high-ambiguity environment with strong ownership, tight feedback loops, and a bias toward systematic process-building.
Excellent communication skills to translate complex evaluation findings into clear recommendations for engineering, product, and non-technical stakeholders.
Bonus: experience with unstructured medical or legal document processing, or background in classical ML (statistics, embeddings, retrieval-augmented generation).

Technology focus

AWS, GCP

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1d ago

Cyber Identity - CIAM Security Engineer/Consultant

Deloitte Charlotte, NC

Charlotte, NC

1d ago

$83k - $163k/yr Full time Ciam Data Security Identity and Access Management

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Job Description

Deloitte is recruiting a Cyber Identity - CIAM Security Engineer/Consultant to support the design, implementation, and production support of Customer Identity and Access Management (CIAM) solutions for client engagements. This onsite role in Charlotte, NC focuses on configuring CIAM capabilities across multiple identity platforms and working with stakeholders to deliver end-to-end CIAM services.

Role Summary

In this position, you will help plan and execute CIAM initiatives that align with client digital transformation and security objectives. The work includes requirements and current-state assessment, solution design, testing, deployment, and production support, along with platform configuration for identity, authentication, federation, registration, multi-factor authentication, adaptive access, and customer identity lifecycle processes.

Key Responsibilities

Support the design and implementation of Customer Identity and Access Management (CIAM) solutions aligned to client digital transformation and security objectives.
Participate in CIAM engagements end-to-end, including requirements gathering, current-state assessment, solution design, testing, deployment, and production support.
Configure and support CIAM capabilities across platforms including Transmit Security, Ping Federate, Okta, and ForgeRock, covering authentication, federation, registration, multi-factor authentication, adaptive access, and customer identity lifecycle processes.
Translate business and technical requirements into scalable identity solutions, and develop delivery artifacts such as documentation, process flows, test plans, and related materials to support implementation and client readiness.
Collaborate with business stakeholders, cyber specialists, developers, testers, and alliance or vendor teams to drive delivery milestones, resolve issues, and maintain trusted client relationships through quality delivery.

Required Qualifications

BA/BS degree in Computer Science, Cyber Security, Information Security, Engineering, Information Technology, Finance, Business, or a related field.
2+ years of industry experience.
2+ years of experience in Identity and Access Management.
1+ year of hands-on experience customizing Transmit Security and Ping Identity tools (required).
Ability to travel 25-50%, on average, based on the role and client needs.
Limited immigration sponsorship may be available.

Technologies

Transmit Security
Ping Federate
Ping Identity
Okta
ForgeRock
SAML
OAuth
WS-Fed

Team Focus

Enables trust and safety of online communications and digital products by helping protect users, consumers, and patients from harm.
Helps clients provide consumer confidence by ensuring integrity of access to data and clarity on with whom they are dealing.

Additional Considerations

Previous consulting or Big 4 project management experience is preferred.
Certifications such as Ping Identity/Transmit Security, CISSP, CISM, or CISA are a plus.
Document configurations, processes, and procedures for maintenance and future reference.
Troubleshoot and resolve access-related issues and incidents efficiently.
Integrate Identity solutions such as Transmit Security and Ping Identity with applications, directories, and identity sources.
Maintain proactive focus on performance bottlenecks and system issues.
Understand advanced authentication protocols including SAML, OAuth, and WS-Fed.
Limited immigration sponsorship may be available.

Compensation and Location

Location: Charlotte, NC (onsite)
Salary: USD 82,600 - 162,800 per year

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1d ago

Principal AI Engineer, Applications

Granicus Remote 🌍 Remote

Remote

1d ago

$165k - $205k/yr Full time Backend Developer Manager AI

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Job Description

Granicus is hiring a Principal AI Engineer, Applications to help turn AI data and agent capabilities into secure, scalable, production-ready applications and workflows. This role owns architecture and hands-on development across the application layer, partnering with platform and business teams to deliver dependable user-facing experiences.

What you’ll do

Architect, build, deploy, and operate full-stack internal AI applications that combine agents, trusted business data, workflow automation, and human decision-making.
Move AI prototypes and agent capabilities into durable, repeatable workflows that teams across the business can adopt, partnering with the AI Transformation & Strategic Operations team to translate process maps, user needs, business rules, and operating constraints into applications.
Collaborate with the Principal AI Engineer, Platform to integrate applications with Granicus systems including the lakehouse, canonical metric layer, trusted data services, reusable agents, and evaluation systems, including co-design of end-to-end system architecture and clear ownership boundaries between the data and agent platform and the app layer.
Own application-level authentication and authorization, working with Security, Legal, Business Systems, and Engineering to translate policies and risk requirements into enforceable application controls.
Build and maintain application and workflow integrations with enterprise systems and systems of record.
Instrument applications to measure adoption, engagement, workflow completion, cycle time, and other operational indicators, and connect product telemetry to business outcomes in partnership with the AI Transformation & Strategic Operations team.
Establish reusable application patterns, templates, components, APIs, and development practices to help Granicus deliver internal AI applications more quickly and consistently.
Take responsibility for Granicus information security by preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company’s information security program.
Ensure data privacy for employees and customers, their data, and complete all required privacy training in a timely manner according to company policies.

Required qualifications

7+ years of software engineering experience, including ownership of production applications.
Experience architecting and building full-stack applications, backend services, and APIs.
Experience integrating applications with enterprise systems of record.
Experience implementing enterprise identity and authorization.
Demonstrated ability to set technical direction and operate engineering work end-to-end as a senior individual contributor.
Hands-on familiarity with LLMs, agents, or retrieval systems through production work, prototypes, or internal tools.
Track record of translating ambiguous business problems into usable technical solutions.
Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Technologies you’ll work with

LLMs, agents, retrieval systems
APIs
Lakehouse, canonical metric layer, trusted data services
Reusable agents, evaluation systems
Identity and authorization

Location and compensation

Location: Remote
Salary: USD 165,000 - 205,000 per year

Benefits

Flexible Time Off
Company-Wide Wellbeing Days
Work From Home Reimbursement
Multiple Health Plan Options (including a 100% employer-paid plan)
Employer HSA Contributions
Fitness Reimbursement Program
On-Demand Mental Health Support (Access to Headspace and other wellness tools)
Paid Parental Leave (for both birthing and non-birthing parents)
Traditional & Roth 401(k) (with a generous company match)
Life & AD&D Insurance (100% employer-paid coverage)
Online Learning Platforms
Competitive Salary & Bonuses

Team and culture

Remote-first company with a globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand.
Focus on building a transparent, inclusive, and safe space, including Employee Resource Groups.
“Coffee with Mark” sessions to interact with the CEO on topics that include mental health, work-life balance, and current affairs.
Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more.
Special guests join from time to time to discuss issues that impact the employee population.

Equal opportunity employer

Granicus is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to protected characteristics, including race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, disability, age, genetic information, sexual orientation, marital status, status with regard to public assistance, familial status, military or veteran status, and any other status protected by law.

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1d ago

IT Security Engineer

Colony Brands, Inc. Monroe, WI

Monroe, WI

1d ago

Full time Cloud Platforms Cybersecurity Tools Data Security

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Job Description

Colony Brands, Inc. is hiring an IT Security Engineer to advance and execute its information security program, policies, and regulatory compliance efforts. This onsite role in Monroe, WI focuses on defining and maintaining security controls, monitoring compliance, and supporting incident response in coordination with internal teams and a managed service SOC.

The ideal candidate brings a broad foundation in information security and IT auditing, along with practical experience using security tooling such as EDR, SIEM, vulnerability scanners, logging software, and identity controls. In this position, you will also help evaluate risk, recommend mitigation solutions, and partner on new systems and processes to keep security configurations operating as intended.

Responsibilities

Develop and implement a comprehensive information security program.
Select and deploy technical controls to meet security requirements, and define processes and standards to ensure security configurations are maintained.
Define and promote information security policies, processes, and standards, including designing technologies in a secure manner and monitoring compliance against company policies and applicable law(s).
Investigate and report security violations and incidents, and advise on information security issues to confirm internal controls are appropriate and operating as intended.
Analyze information and processes to balance normal vulnerability levels with investment, personnel, and end-user capabilities.
Serve as a subject matter expert to the business and provide security guidance.
Partner with project teams to facilitate and implement new systems, policies, and processes.
Coordinate with the managed service SOC to support centralized logging and help identify security incidents and misconfigured security controls.
Coordinate and conduct responses to information security incidents, including the ability to begin forensic investigation as part of the incident response process.
Prepare documentation, business notifications, and security alerts.
Interact daily with employees regarding security alerts from EDR, SIEM, phishing identification tools, and general service tickets.
Research, recommend, and develop security and risk mitigation solutions.

Requirements

Bachelor’s degree in MIS, Computer Sciences, Information Technology or related discipline.
3+ years’ related business experience.
A broad and in-depth understanding of information security and information technology auditing.
Commitment to continuous improvement and knowledge growth, including staying current with security technologies.
Documented ability to utilize security systems including vulnerability scanners, logging software, Multi Factor Authentication, SAML Federation, and experience with patch management processes.
Experience with diverse desktop and server environments, networking, and operational security technologies both on premise and in the Cloud, with AWS preferred.
Solid written and verbal communication skills across comprehension levels; experience driving Security Awareness programs is desired.
CISSP Certification is preferred.
Experience working with small to mid-size companies is helpful.
PCI, SOC1, Audit &/or HIPPA experience is a plus.