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- Onsite 12 Months Contract Looking only Locals who can do Onsite Interview We are seeking an Enterprise Agentic Platform Specialist to lead the design, development, and delivery of enterprise-scale Data Science and Generative AI (GenAI) solutions.
This role will drive the implementation of AI agents, LLM orchestration frameworks, and enterprise automation pipelines, working cross-functionally with business stakeholders, data engineers, data scientists, DevOps teams, and UI developers.
The ideal candidate will combine hands-on GenAI engineering expertise with strong program delivery capabilities, ensuring solutions deliver measurable business outcomes while meeting enterprise standards for governance, security, and Responsible AI.
Key Responsibilities AI Agent and GenAI Development Lead the end-to-end delivery of enterprise data science and GenAI solutions.
Design, develop, and deploy AI agents using Microsoft Copilot Studio, Claude agent frameworks, and enterprise LLM orchestration patterns.
Implement prompt engineering strategies, grounding techniques, and Retrieval-Augmented Generation (RAG) pipelines.
Architecture and Integration Define architecture standards for agentic systems, including tool calling schemas, prompt frameworks, grounding flows, and RAG pipelines.
Translate complex workflows into modular, automated, event-driven pipelines.
Integrate AI solutions with enterprise systems via REST APIs, Power Platform connectors, and enterprise data services.
Connect Copilot Studio agents to enterprise data sources such as: SharePoint Dataverse SQL SAP Enterprise Platform Integration Oversee system integration across enterprise platforms including: ServiceNow SharePoint Microsoft Teams Power Automate Azure APIs Design MCP-based agent architectures, integration layers, authentication flows (OAuth / Microsoft Entra), and system messaging frameworks.
Governance, Security and Responsible AI Collaborate with AI architects, MLOps teams, and security teams to enforce: Responsible AI standards Data governance policies Security and access control frameworks Model safety guidelines Implement agent observability frameworks including logging, telemetry instrumentation, latency metrics, error tracking, and automated remediation workflows.
Delivery and Program Management Lead cross-functional teams delivering AI solutions across data engineering, data science, DevOps, and UX teams.
Manage delivery using Agile / Scrum or hybrid PM methodologies.
Track dependencies, risks, sprint alignment, and release orchestration.
Metrics and Performance Monitoring Define KPIs and operational dashboards for AI automation, including: Cycle time reduction Accuracy improvements Governance compliance Agent uptime and reliability Required Qualifications Hands-on experience delivering enterprise Data Science and GenAI solutions.
Experience designing and deploying AI agents using Microsoft Copilot Studio or similar agent frameworks.
Strong knowledge of LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).
Experience integrating AI solutions with enterprise platforms and APIs.
Understanding of MLOps, governance frameworks, and Responsible AI standards.
Experience working in Agile delivery environments with cross-functional teams.
Preferred Qualifications Hands-on expertise building agents in Microsoft Copilot Studio.
Familiarity with agent frameworks such as: LangChain AutoGen CrewAI OpenAI Assistants / Functions APIs Experience implementing enterprise AI observability and monitoring frameworks.
Strong understanding of enterprise security, authentication, and governance models.
Thanks Sri Vardhan Chilakamukku Infobahn SoftWorld Inc.
Python AI Engineer (Prompt & Agentic Systems)
Location: Hybrid –Atlanta, GA (3 days a week onsite)
Client: Retail client
About the Role
We’re looking for a hands-on engineer who can build AI-enabled applications end-to-end using Python, with strong skills in prompt engineering and agentic system design (multi-agent/orchestrated AI workflows). You’ll design, develop, and productionize intelligent features—ranging from retrieval-augmented generation (RAG) to autonomous tasking agents integrated with internal tools and APIs.
Key Responsibilities
- Design & Build AI Services: Develop Python-based back-end services that integrate LLMs for reasoning, extraction, summarization, and decision support.
- Prompt Engineering: Craft, version, and evaluate prompts/system instructions; design guardrails, test prompt variants, and optimize for reliability, latency, and cost.
- Agentic Systems: Architect and implement autonomous/multi-agent workflows—planning, tool-use, memory, error recovery, and human-in-the-loop controls.
- RAG Pipelines: Implement document ingestion, chunking, embeddings, vector search (semantic/re-ranking), and grounding strategies.
- Evaluation & Observability: Define metrics and build eval suites for quality (accuracy, factuality, safety), and establish tracing/telemetry for LLM calls.
- API & Tool Integrations: Enable agents to use tools (internal APIs, search, databases, workflow engines); handle auth, rate limits, and fallbacks.
- MLOps / AIOps: Package, containerize, and deploy services (Docker/K8s); manage keys, secrets, CI/CD; support canary rollouts and cost governance.
- Security & Compliance: Apply data privacy principles, PII handling, redaction, prompt injection defenses, and audit logging.
- Cross-Functional Collaboration: Partner with product, data, and security teams to translate requirements into reliable AI features.
Required Qualifications
- Strong Python (typing, async, testing, packaging) and experience building production APIs/services (FastAPI/Flask).
- Hands-on with LLMs (OpenAI, Azure OpenAI, Anthropic, etc.) and embedding/RAG workflows.
- Proven prompt engineering experience (few-shot strategies, tool-use instructions, output schemas, function/tool calling).
- Experience with agent frameworks or custom agent orchestration (e.g., LangGraph/LangChain/AutoGen, or in-house equivalents).
- Vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate) and search relevance tuning.
- Familiar with MLOps/DevOps: Docker, CI/CD, monitoring (Prometheus/Grafana), logging (OpenTelemetry), secrets management.
- Testing & Evals: unit/integration tests, offline evals, golden datasets, regression checks.
- Practical understanding of AI safety/guardrails (prompt injection, data leakage, jailbreak prevention).
Nice to Have
- Experience with Azure (or AWS/GCP) AI services, key vaults, and networking.
- Knowledge of Model Context Protocol (MCP) or tool-server patterns for secure tool access.
- Experience with retrievers (BM25, hybrid search), re-rankers, or LlamaIndex/LangChain.
- Familiarity with streaming UIs and structured outputs (JSON, Pydantic schemas).
- Background in LLM finetuning, RLHF/DPO, or synthetic data generation.
- Front-end basics for AI UX (React/Next.js) or chat UI patterns.
- Domain knowledge in HR/ATS, customer support, or internal enterprise workflows.
Our internal consulting agency is seeking a Senior Workfront & Adobe Fusion Architect to join their team in an ongoing contract or full-time capacity if desired.
Role Type: Senior Individual Contributor (Non Manager)
Team: Adobe Practice - Operational Readiness & Optimization
Location: Remote within the US| Travel ~1020%
Hours: Weekly hours can be flexible, up to 40 hours/week.
Role Overview
We are hiring a Senior Workfront & Adobe Fusion Architect to serve as an embedded consulting delivery resource within our Adobe Operations & Workflow practice. This role is both strategic and extremely hands on designed for someone who can assess each client's individual systems, make intelligent architectural recommendations, and personally build and validate the solution in Workfront and Fusion.
The ideal candidate has architected and led Workfront/Fusion solutions at scale, guided enterprise decisioning, defined standards, and influenced governance while also being a practitioner who lives in the platform (configuring workflows, building Fusion scenarios, optimizing reporting, and troubleshooting issues directly). This role exists because we need someone who can do what our strongest practitioners do: lead AND build.
Key Responsibilities
Delivery Capacity + Hands On Execution (Critical)
" Hands-on Workfront configuration: request queues, routing logic, templates, custom forms, dashboards, portfolio/program structures, access models, layout templates, and operational governance.
" Hands-on Fusion integration development: building, testing, troubleshooting, and optimizing scenarios using OOTB modules, APIs, JSON patterns, and webhooks.
" Hands-on workflow optimization: improving routing logic, reducing bottlenecks, validating end to end processes, and tuning operational throughput.
" Hands-on advanced reporting: creating text mode fields, calculated metrics, KPI models, operational dashboards, and portfolio-level reporting frameworks.
" Hands-on troubleshooting & UAT: replicating issues, validating fixes, documenting requirements, and ensuring production readiness.
" Hands-on prototyping: demonstrating feasibility by building live or near live prototypes in Workfront/Fusion.
Architecture & Platform Leadership
" Serve as a Workfront Architect with 3+ years of architecture/technical lead experience in enterprise environments.
" Own the architecture, configuration, and integration strategy across multiple business units with both global standardization and necessary BU flexibility.
" Define and govern enterprise Workfront standards (objects, workflows, templates, statuses, routing logic).
" Design scalable workflows across portfolios, programs, and delivery teams.
" Advise clients on customization vs. standardization decisions to maintain governance and usability.
" Ensure Workfront operates as a scalable enterprise platform, integrated with DAM, AEM, and broader MarTech/ops ecosystems.
Integrations & Automation
" Lead integrations with AEM Assets (DAM), AEM (CMS), and enterprise systems requiring metadata, content, or workflow coordination.
" Design and implement fusion automation using Workfront Fusion, APIs, JSON payloads, and webhooks.
" Optimize integrations for operational efficiency, error-handling, governance, and scalability.
Business-Facing Consulting & Advisory
" Lead discovery sessions, operational assessments, and roadmap development.
" Make strategic recommendations based on each clients unique systems, constraints, and operational maturity.
" Guide architecture decisions, governance frameworks, and executive-level alignment.
" Facilitate workshops with PMO, marketing ops, creative ops, and cross-functional teams.
Practice Development & Enablement
" Create reusable accelerators: text mode libraries, workflow templates, Fusion patterns, reporting models, maturity frameworks, and governance checklists.
" Upskill internal teams on hands-on Workfront/Fusion delivery methods and enterprise best practices.
" Support cross-solution alignment with AEP, AEM, Marketo, Campaign, and related teams.
Client Enablement
" Deliver structured documentation, playbooks, process maps, and handoff materials.
" Establish intake committees, governance councils, and operational working sessions.
" Coach client teams toward self-sufficiency and sustainable platform ownership.
Required Qualifications
" Active Adobe certifications required:
o Adobe Workfront Core Developer Expert (AD0 E903) or Workfront Core Developer Professional
o Adobe Workfront Fusion Developer Expert (AD0 E907) or Fusion Developer Professional
" Must be a hands-on practitioner. Direct, recent configuration experience in Workfront and Fusion is non-negotiable.
" 3+ years in an architect or technical lead role, owning enterprise Workfront/Fusion solutions, standards, and integration strategy.
" 5+ years Workfront experience building complex configurations in large, multi-group or multi-instance ecosystems.
" 24+ years Fusion automation experience, including JSON/API integrations.
" Proven ability to make strategic recommendations based on client systems not just admin execution.
" Mastery of advanced reporting (text mode, calculated fields, KPI modeling).
" Excellent client-facing communication, discovery leadership, and BA documentation skills.
Preferred Qualifications
" Additional Workfront certifications (Administrator, Architect).
" Experience integrating Workfront with Adobe Experience Cloud (AEM, AEP, Marketo, Campaign).
" Familiarity with PMO frameworks (Agile/SAFe) or marketing/creative ops org design.
" Experience with Power BI/Tableau reporting pipelines.
What Success Looks Like
" Contribute meaningfully to the evolution of our Adobe practice by introducing scalable frameworks, repeatable assets, and delivery standards that raise our overall maturity and accelerate client outcomes.
" Faster delivery velocity through high-impact, hands-on execution.
" Scalable workflows adopted across teams with measurable reductions in operational friction.
" Fusion automations that stabilize operations and reduce manual effort.
" Clear governance increasing consistency, transparency, and efficiency.
" KPI/reporting frameworks that drive better decisions across creative, PMO, and operational teams.
In this position, you may have access to client or customer systems, confidential and/or proprietary information or data.
Benefits
Creative Circle's Freelance Employee benefits package includes eligibility for Minimum Essential Coverage (MEC) medical plan, dental/vision/term life package, discount prescription program, critical illness, accident, tele-behavioral health, and 401(k) plan. Sick leave is provided to Candidates whose assignment work location is in a state or city subject to sick leave laws. A Minimum Value (MV) PPO medical plan, Employee Stock Purchase Plan, and paid holiday eligibility are based on length and dates of service.Email Your Resume In Word To
Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply.
Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : MS14-1980602 -- in the email subject line for your application to be considered.
Meggan Sharma - Recruiter, National Delivery
For Creative Circle to represent you for this opportunity, you must be currently authorized to work in the United States without the need of employer sponsorship for a non-immigrant visa such as a H-1B, TN, or O visa. We do not support or provide training for STEM/OPT programs. Additionally, you must be physically located in and perform the work for our client in the United States.This is a new role.
This job was first posted by Creative Circle on 03/13/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.
This job was posted on 03/13/2026 and is open for 60 days
Creative Circle is an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Creative Circle will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. If you need a reasonable accommodation in the application process, please contact your Recruiter (the person you'll be interviewing with) or a member of our Human Resources team to make arrangements. United Healthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Creative Circle.
Copyright 1999 - 2026. CreativeCircle , Inc. All rights reserved.
Nephrology on the Gulf CoastLocation Gulfport5 miles to Biloxi20 miles to Gulfport-Biloxi International Airport (GPT)50 miles to Mobile90 miles to NOLA150 miles to the white sands of DestinLocation miles to Biloxi40 miles to Dauphin Island, Gulfport & Mobile40 miles to Gulfport-Biloxi International Airport (GPT)110 miles to NOLALocation metroGulfport-Biloxi metro is home to 500,000 residents and Keesler Air Force Base20 miles to Gulfport-Biloxi International Airport (GPT)60 miles to Mobile90 miles to NOLA2 hours to Gulf ShoresJoin a large private Nephrology group of 20+ Nephrologists, 4 Vascular Surgeons and multiple APPs as they grow and expand into Mississippi with 3 offices.Group is adding 2 Nephrologists to start Summer of 2026.Coverage 1:3 then 1:5Flexible work environmentFull-time optionNon-partnership optionHospitalist style optionJoint Venture optionDirectorshipsPartnership TrackNurse Practitioner supportOpenings for general, transplant or interventional trained NephrologistsRecent graduates and young experienced nephrologists welcome.Fellowship StipendBenefits:Competitive salary7k relocationSign on negotiableComprehensive benefits401KCMEPTOMPReference: 109874J1 & H1B visa candidates are encouraged to apply.
Here, you will help at-risk adolescents BUILD BETTER FUTURES.
Abraxas Academy is located minutes off of Exit 298 of the Pennsylvania Turnpike in Berks County and provides detention and treatment services for court committed youth.
Salary: $29.00-$32.00 hourly Job Type: Full-time Must pass a drug test and both federal and state background checks! Position Summary The Physical Development Specialist implements the Regulation and Movement Program (RAMP), a targeted stabilization strategy designed to reduce behavioral escalation among high-risk youth through structured physical activity and physiological regulation techniques.
Youth served at Abraxas Academy often operate in a state of heightened physiological activation due to trauma exposure, impulsivity, and environmental stressors.
This role addresses the underlying biological drivers of behavior by providing proactive, movement-based interventions that reduce escalation, improve self-regulation, and enhance overall program stability.
This position is not traditional recreation or supervision.
The Physical Development Specialist uses exercise science principles as a behavioral intervention, integrating cardiovascular activity, structured programming, and recovery techniques to support emotional and behavioral regulation.
Key Responsibilities 1.
Targeted Caseload Intervention Maintain a caseload of youth identified as high risk for behavioral escalation Conduct individual and small-group sessions focused on cardiovascular engagement and regulation Facilitate structured activities such as basketball, soccer, interval training, agility drills, and cycling Provide guided coaching during activity to support emotional awareness and behavioral choices Assist youth in identifying triggers and practicing alternative responses Deliver proactive interventions to reduce the likelihood of crisis behavior 2.
Structured Recreation Leadership Design and implement structured recreation programming across residential units Minimize idle time and reduce unstructured or chaotic activities Increase safe cardiovascular intensity and engagement levels Establish organized team formats that reinforce discipline and accountability Collaborate with and train unit staff on maintaining structure, safety, and behavioral expectations during movement activities Support consistent implementation of program standards across shifts 3.
Regulation and Recovery Integration Integrate physiological regulation techniques into programming, including: Tactical breathing Heart rate monitoring and recovery training Mobility and flexibility work Collaborate with external specialists (e.g., yoga or wellness instructors) to enhance programming Facilitate short, guided recovery sessions to promote down-regulation following physical activity Teach youth strategies to intentionally transition from activation to calm 4.
Behavior Stabilization Support Use movement as a proactive intervention to reduce aggression and crisis incidents Reinforce program expectations, structure, and accountability during all activities Model calm, controlled responses in high-energy environments Maintain safety and behavioral boundaries at all times Communicate effectively with clinical and program staff regarding youth progress Required Qualifications Bachelor’s degree in a related field (e.g., kinesiology, exercise science, physical education, sports science, psychology, or a similar discipline) preferred Demonstrated ability to lead structured group activities or programming Interest in working with adolescents and supporting behavioral growth Ability to manage groups in active, high-energy environments Strong interpersonal, coaching, and communication skills Ability to maintain structure, discipline, and safety during movement-based activities Preferred Qualifications Experience leading athletic, fitness, recreation, or youth development activities Experience working in team-based or structured program environments Familiarity with behavior management, coaching, or mentoring approaches Certification in CPR/First Aid (or ability to obtain) Core Competencies Behavioral coaching and de-escalation Group leadership and engagement Structured program design Situational awareness and safety management Communication and collaboration Emotional regulation and professionalism Working Conditions Active, movement-based work environment Frequent standing, walking, running, and physical demonstration of activities Engagement with youth exhibiting challenging behaviors Indoor and outdoor programming environments Program Goals and Impact The RAMP initiative is designed to: Reduce aggressive incidents and crisis events Decrease use of restraints Improve program stability and unit climate Enhance youth self-regulation skills This role is central to shifting the program from reactive behavior management to proactive stabilization, using movement as a primary tool for regulation and skill development.
Position Philosophy This position is built on the understanding that many youths regulate more effectively through structured physical engagement than through verbal processing alone.
The Physical Development Specialist helps youth: Safely discharge stress through movement Stay cognitively engaged during activation Learn to intentionally regulate through recovery techniques Abraxas Youth & Family Services, an affiliate of Apis Services Inc., offers a rewarding career for those passionate about making a difference in the lives of others.
Abraxas is a great place to start your career whether you have a high school diploma or GED, military experience, some college, or a bachelor or advanced degree.
If you are interested in counseling, juvenile justice, psychology, social work, teaching or just want to make a difference, we have a career path for you.
Apis Services Inc.
(a wholly owned subsidiary of Inperium, Inc.) provides a progressive platform for delivering Shared Services to Inperium and its Constellation of affiliate companies.
Apis Services provides equal employment opportunities for all employees and applicants for employment in compliance with all federal and all applicable state and local laws and regulations, including nondiscrimination in hiring and employment.
All employment decisions are made without regard to race, color, religion, gender, national origin, ancestry, age, sexual orientation, gender identity and expression, disability, genetic information, marital status, pregnancy/childbirth, veteran status or any other basis protected by law.
This policy of non-discrimination and equal employment opportunities extends to every phase and aspect of hiring and employment.
About Company: Apis Services, Inc.
(a wholly owned subsidiary of Inperium, Inc.) provides a progressive platform for delivering Shared Services to Inperium and its Constellation of affiliate companies.
Allowing these entities to advance their mission and vision.
By exploring geographical program expansion and focusing on quality outcome measures to create cost savings that result in reinvestment into the organizations stakeholders through capacity creation and employee compensation betterment.
Apis Services, Inc.
and affiliate’s provide equal employment opportunities for all employees and applicants for employment in compliance with all federal and all applicable state and local laws and regulations, including nondiscrimination in hiring and employment.
All employment decisions are made without regard to race, color, religion, gender, national origin, ancestry, age, sexual orientation, gender identity and expression, disability, genetic information, marital status, pregnancy/childbirth, veteran status or any other basis protected by law.
This policy of non-discrimination and equal employment opportunities extends to every phase and aspect of hiring and employment.
The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met. The Product Manager’s job also includes ensuring that the product supports the company’s overall strategy and goals.
This role supports an eCommerce fulfillment environment that manages pickup, third-party delivery (Instacart and DoorDash), and operations. The team is building a platform focused on order submission, selection, and routing, with an emphasis on operational reporting, process optimization, and demand forecasting.
About the Role
The Product Manager is responsible for the product planning and execution throughout the Product Lifecycle, including gathering and prioritizing product and customer requirements, defining the product vision, and ensuring revenue and customer satisfaction goals are met.
Responsibilities
- Manage all technical aspects of product through product lifecycle
- Work directly and indirectly with business stakeholders, vendors and third parties to ensure execution of deliverables
- Create, maintain and communicate product catalog and technology roadmaps, including near-term delivery, to engage stakeholders across the organization
- Identify, measure and improve key product catalog metrics to enhance the customer experience, and create a compelling, relevant product vision using web metrics, customer insights, feedback, research and internal operational metrics
- Elicit, define and analyze medium to complex requirements in various formats ensuring they are testable, measurable and traceable
- Set criteria for minimum viable product to increase the speed/frequency with which enhancements and new capabilities are delivered
- Lead the appropriate teams to refine, prioritize and manage requirements using various tools (e.g., templates, team backlogs, requirements management or agile task management applications)
- Lead requirement walk-throughs with key stakeholders using various methods (e.g., team demos, workshops, sprint planning and backlog refinement sessions)
- Identify and estimate anticipated work efforts based on priority using requirement work plans, program increment (PI) planning, and sprint planning
- Define and resolve dependencies, issues and risks and identify impacted areas through team collaboration
- Break down a medium to complex vision into smaller projects, initiatives or features
Qualifications
Skills: Must-Have
- Product strategy & prioritization
- Data platform fundamentals
- ML literacy
- Stakeholder communication
- Designing for expert users without alienating new ones
- Clear documentation and onboarding flows
- Understanding user workflows—not just APIs
Strong Differentiators
- MLOps understanding
- Experimentation and metrics fluency
- Responsible AI leadership
- Platform UX thinking
- Stakeholder Management
Required Skills
- Align business leaders, engineers, data scientists, legal/compliance, and ops
- Translate technical constraints into business-relevant language
- Manage expectations around ML uncertainty and iteration
Preferred Skills
- Data Concepts You Should Be Fluent In
- Data types: structured, semi-structured, unstructured
- Data pipelines (batch vs. streaming)
- Data quality dimensions: accuracy, completeness, timeliness
- Data lineage and observability
- Metadata, schemas, and versioning
- Platform Thinking
- APIs, SDKs, and self-service capabilities
- Multi-tenant vs. single-tenant design
- Performance, scalability, and cost tradeoffs
- Internal vs. external (customer-facing) platforms
- Machine Learning Fundamentals Every PM Should Know
- Supervised vs. unsupervised learning
- Training vs. inference
- Features, labels, and training data
- Model evaluation metrics (precision, recall, AUC, RMSE, etc.)
- Overfitting vs. generalization
- ML Product Realities
- ML outputs are probabilistic, not deterministic
- Model performance degrades over time (data drift, concept drift)
- Improving models often requires better data, not better algorithms
- ML development is experimental and iterative
- Areas that must be understood
- Model training pipelines
- Model deployment patterns (batch, real-time, edge)
- Model monitoring and retraining
- Versioning of models and data
- Rollbacks and experimentation (A/B tests, canary releases)
- Role: QE Solution Architect
- Skills: GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation
- Experience: 14 + Years.
- Location: Houston TX.
Role Summary
We are seeking an AI-Driven Quality Engineering (QE) Solution Architect to lead the design and rollout of next‑generation, AI-enabled QE solutions powered by platforms such as GitHub Copilot (GHCP), Azure OpenAI, and intelligent automation toolchains. This role will drive RFP/proposal solutioning, lead strategic AI pilots, and deliver tangible quality, velocity, and cost benefits that accelerate client adoption of AI across the account. The architect will work closely with Sales, Delivery, DevOps, and Enterprise Architecture to position differentiated, automation-first QE solutions and enable account mining.
Key Responsibilities:
1. AI-Enabled QE Solutioning (Primary Charter)
- Architect AI-first QE solutions leveraging GHCP, Generative AI, ML-based defect prediction, autonomous test generation, and intelligent test data creation.
- Define AI use cases across the entire QE lifecycle—test design automation, risk-based optimization, impact analytics, and continuous validation.
- Build reusable AI accelerators, prompts, copilots, templates, and solution kits to differentiate QE offerings.
- Evaluate and recommend best-fit AI/QE platforms for client ecosystems including GHCP, Azure OpenAI, Selenium, Playwright, Tricentis, Katalon, and cloud-native DevOps stacks.
- Establish governance for responsible AI usage in QE.
2. Strategic Projects, Pilots & Account Mining
- Lead AI pilots and proof-of-value (PoV) initiatives to demonstrate measurable impact—cycle time reduction, automation uplift, defect leakage reduction, and cost efficiency.
- Drive cross-account AI adoption by identifying areas for modernization, automation, and AI-led productivity improvements.
- Shape new opportunities within accounts through strategic programs, capability showcases, and client workshops.
- Develop account-specific AI roadmaps, maturity models, and transformation charters.
3. Solutioning & Pre-Sales Leadership
- Own QE solutioning for RFPs, RFIs, and proposals, including estimation, delivery models, staffing, and differentiators.
- Create compelling value narratives highlighting AI-enabled acceleration, automation efficiency, and quality cost reduction.
- Represent QE in orals, client demos, and AI capability walk-throughs.
- Build scalable solution blueprints that integrate functional, automation, performance, security, data, and AI-driven validation.
4. Quality Engineering Leadership
- Provide architectural direction across Functional QA, UI/API automation, Performance, Security, and AI-led QE.
- Recommend enterprise-grade QE toolchains optimized for ERP, CRM, API-led, and cloud-native digital ecosystems.
- Drive QE modernization by introducing self-healing automation, autonomous test generation, shift-left testing, and DevOps‑integrated quality gates.
5. Collaboration, Governance & Delivery Alignment
- Work with Delivery, DevOps, Engineering, and Enterprise Architecture to ensure solution feasibility and adoption.
- Ensure seamless transition from solution to delivery including guardrails, scope clarity, and quality governance.
- Align solutions with organizational cost models, margin expectations, and client value realization frameworks.
Required Skills & Experience
- 12–15 years in QE; 3+ years in QE Architecture, AI-led QE, Solutioning, or Pre-Sales.
- Strong expertise with GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation, and enterprise automation frameworks.
- Demonstrated experience leading client-facing AI pilots/PoVs.
- Ability to create high-quality proposal content—estimates, assumptions, solution writeups, value metrics.
- Excellent communication, storytelling, and stakeholder influence skills.
- Experience working with bid teams and large transformation programs.
Preferred Skills / Certifications
- Experience with AI/QE in ERP (SAP/Oracle/NetSuite), CRM, MuleSoft/API-led integrations, and cloud modernization programs.
- exposure to performance engineering, application security, and DevOps pipelines.
- Certifications: ISTQB, Agile, AWS/Azure, DevOps, GitHub, or AI certifications.
We are seeking a talented Software Engineer 3 (Power BI Developer) to join a leading global financial institution on a long-term contract in Wilmington, DE. This role is ideal for someone with advanced Power BI skills, including DAX, Power Query/M, and complex data modeling, who has experience building executive dashboards and turning complex data into actionable insights. The position involves designing enterprise-level BI solutions, integrating data from multiple sources, and delivering analytics on toolchain adoption, productivity, and business impact. Candidates should have experience with platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools, and be comfortable mentoring junior team members and collaborating with cross-functional teams. This is an exciting opportunity to influence decision-making and contribute to strategic initiatives at a senior level.
Job Title: Software Engineer 3 (Power BI Developer)
Job Location: Wilmington, Delaware 19803
Job Duration: 12 months (with possible extension)
Only W2 Candidates
Join a leading global financial institution and work with some of the brightest minds in the industry. This long-term contract opportunity offers a competitive benefits package and a chance to contribute to innovative solutions in the financial services space. If you’re passionate about leveraging data to drive business impact and enjoy creating insights that influence key decisions, this role is for you.
Required Skills & Experience
- 4+ years of software engineering experience, or equivalent through consulting, training, military service, or education.
- 6+ years of Power BI experience, with at least 3 years focused on advanced development in enterprise environments.
- Proven expertise in designing BI solutions for enterprise software development ecosystems, toolchain adoption, and DevOps maturity.
- Experience connecting Power BI to various toolchain platforms (e.g., Jira, GitHub, Azure DevOps, CI/CD tools) and designing KPIs for adoption, onboarding, and usage.
- Advanced proficiency in DAX, Power Query/M, and complex data modeling for management-level reporting.
- Experience building executive dashboards covering adoption, risk, compliance, automation, productivity, and cost savings.
- Strong data integration skills, including ETL, API extraction, direct query, and on-prem/cloud data source integration.
- Deep understanding of enterprise data governance, security, access controls, and reporting best practices.
- Excellent communication skills with experience collaborating with both technical and business stakeholders.
- Demonstrated leadership in project delivery, solution architecture, and mentoring junior team members.
Desired Skills & Experience
- Expertise in enterprise DevOps, SDLC/ALM toolchains, engineering productivity tooling, or related reporting domains.
- Experience supporting executive or board-level reporting initiatives.
- Microsoft Power BI and/or Power Platform certification.
- Experience in highly regulated or financial services environments.
Key Responsibilities
- Participate in moderately complex software engineering initiatives and contribute to planning and delivery of enterprise solutions.
- Review, analyze, and resolve complex software engineering and BI challenges.
- Collaborate with engineering, operations, and transformation teams to gather requirements, define key metrics, and ensure data accuracy for management reporting.
- Architect, develop, and maintain advanced Power BI dashboards and reports focused on toolchain adoption, process maturity, and business impact.
- Serve as the enterprise subject matter expert in toolchain reporting, with knowledge of common platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools.
- Develop frameworks, data models, and methodologies to assess adoption and maturity metrics (e.g., tool usage, process adherence, automation coverage, delivery impact).
- Integrate data from multiple sources—including APIs, data lakes, internal databases, and vendor platforms—into Power BI using advanced transformations and DAX.
- Deliver meaningful executive and operational insights with robust drill-down capabilities for decision-making.
- Partner with business and IT leadership to present findings, recommend actions, and evolve analytics in alignment with strategic objectives.
- Define, document, and enforce best practices for management reporting, including data governance, security, and lifecycle management.
- Mentor and coach junior engineers and analysts on Power BI and toolchain reporting best practices.
- Maintain, monitor, and continuously enhance reporting solutions as enterprise needs evolve.
- Provide occasional after-hours support for critical reporting or deployment issues.
Applied AI Engineer
Compensation:
- Up to $150,000 base salary (direct hire w2 only, no c2c, no 1099), (flexibility on base salary for exceptional experience)
Location:
- Hybrid / Onsite - Greater Kansas City Metro Area
- 3 days per week onsite, 2 days remote
- Candidates must currently reside in the KC metro area or be willing to relocate within a reasonable timeframe
- Fully remote candidates cannot be considered
Work Authorization:
- Must be authorized to work in the U.S.
- No current or future visa sponsorship available
Engagement Type:
- Full time, direct hire only
- No third-party agencies, consulting firms, C2C, or 1099 arrangements
About the Opportunity
Vaco Highspring is conducting a confidential search on behalf of a global enterprise organization with a strong technology footprint, including a proprietary SaaS platform and a technology?enabled services business.
The organization is making a focused investment in artificial intelligence to improve internal efficiency, modernize workflows, and embed intelligent capabilities into its software platform. This role offers meaningful ownership and visibility, with a mandate to build and deploy AI systems that have real, production level impact.
The Role
As an Applied AI Engineer, you will play a key role in integrating AI across internal systems and a customer facing SaaS platform. You will work hands on with large language models (LLMs) and modern AI tooling to automate processes, build internal tools, and deliver intelligent product features.
This is a production focused role operating at the intersection of engineering, product, and business operations, with close collaboration across teams in a hybrid/onsite environment. (3-days per week onsite in Greater Kansas City Metro Area, 2-days remote work.)
Key Responsibilities
- Design and build scalable AI powered services and tools to streamline internal workflows across multiple teams (e.g., operations, content, sales, support).
- Develop and deliver intelligent features within a proprietary SaaS platform.
- Integrate, manage, and optimize multiple LLMs and AI APIs (e.g., OpenAI style, Anthropic style, or comparable providers).
- Provide technical leadership and mentorship to other engineers, including guidance on architecture, best practices, and performance.
- Build and maintain backend systems and APIs that support AI functionality across products and services.
- Design infrastructure for model serving, orchestration, monitoring, and lifecycle management.
- Implement fallback strategies, model routing, and cost performance optimization.
- Partner cross functionally with engineering, product, and business stakeholders to identify high impact AI opportunities.
- Apply best practices related to data privacy, security, compliance, and responsible AI use.
- Stay current with advancements in AI, LLMs, and MLOps, introducing new approaches where appropriate.
Qualifications
- 6+ years of engineering experience with multiple years of experience in a production environment deploying AI/ML applications or infrastructure.
- Proven experience applying LLMs or similar AI models to real business or product challenges.
- Strong backend engineering skills (Python and/or TypeScript preferred).
- Experience with AI/ML orchestration and deployment tools (e.g., LangGraph style frameworks, Airflow like systems, Kubeflow, Ray, or workflow automation tools).
- Hands on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Front end development experience in areas like React, Node.js, Web Development, front end web product design
- Solid understanding of MLOps practices, including deployment, monitoring, logging, and evaluation.
- Knowledge of data privacy, security, and ethical AI considerations.
- Experience supporting SaaS platforms or technology driven products is a plus.
- Strong communication skills and the ability to collaborate across technical and non-technical teams.
- Passion for applying AI in practical, high impact ways.
Why This Role
- High visibility and ownership of AI initiatives
- Opportunity to build AI systems that directly impact business outcomes
- Emphasis on production grade systems, not experimentation alone
- Collaborative, hybrid environment with close access to stakeholders
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.
**Candidate must be willing to go into office 3 days a week**
Senior Full-Stack AI & Data Engineer – Contract
RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.
We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.
You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.
Responsibilities
- Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
- Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
- Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
- Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
- Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
- Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
- Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
- Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
- Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
- Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
- Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
- Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
- Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
- Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
- Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
- Excellent communication skills and ability to work effectively in client-facing environments.
Preferred Qualifications
- Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
- Experience building agent-based AI systems or working with frameworks such as LangChain.
- Familiarity with vector databases and semantic search architectures.
- Experience developing mobile applications using React Native or Flutter.
- Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
- Experience deploying applications to Apple App Store or Google Play Store.
- Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
- Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).
Leadership & Culture
- Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
- Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
- Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.
