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Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Business Overview

KINESSO is the technology-driven performance marketing agency providing actionable growth for both our agency partners and clients. We turn 'action' into 'outcome' for our clients, leveraging our unique capabilities in optimization, analytics, AI, and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, P3, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. We have extensive offerings spanning across performance marketing and data and technology. Fueled by a deep understanding of consumer behavior, we offer an end-to-end engine of planning and optimization while also delivering on data-driven strategy for social platforms, actionable growth in e-commerce, and creating curated marketplaces specific to each client's function and needs. The company has more than 6,000 employees operating in more than 60 countries. Learn more at Summary

We are seeking a Staff Software Engineer to spearhead the design and development of a next-generation AI Chat Application that will serve as an enterprise-wide assistant. This application will support a diverse range of organizational functions-including HR, Finance, Business Strategy, Ad Tech, and MarTech-empowering employees with intelligent, context-aware AI capabilities to streamline daily work.

As the Staff Software Engineer, you will guide the technical direction, mentor engineers, and partner with cross-functional teams to deliver a scalable, secure, and high-performing platform.

• 
  
• Lead Architecture & Development: Define and implement the architecture for an AI-driven chat platform leveraging Python, GCP, and AI services.
  
• Team Leadership: Mentor and guide a team of engineers, driving technical excellence, collaboration, and delivery.
  
• LLM Integration: Build and optimize solutions with LLM foundational models to support natural language understanding, contextual reasoning, and multi-domain workflows.
  
• Partner with Product Owners: Collaborate closely with product owners to assess technical feasibility, translate business needs into actionable engineering requirements, and ensure alignment with overall product strategy.
  
• Scalability & Reliability: Ensure the system is designed with enterprise-grade security, scalability, and compliance in mind.
  
• Innovation: Explore and adopt emerging practices in prompt engineering, multi-agent coordination (MCP/LLM agents), and applied AI to continuously evolve the platform.
  

• 
  
• 12+ years of software engineering experience building production-grade applications.
  
• 7+ years of experience with Java (Python experience strongly preferred).
  
• 3+ years of experience leading or managing engineering teams.
  
• Strong grasp of object-oriented programming, data structures, algorithms, and design patterns.
  
• Experience designing and building scalable APIs (REST, GraphQL, gRPC) and modular, extensible architectures.
  
• Hands-on experience with relational and NoSQL databases (e.g., MSSQL, PostgreSQL, DynamoDB).
  
• Familiarity with messaging and event-driven platforms like Kafka, Temporal for real-time systems.
  
• Strong expertise in GCP and integrating AI services with LLM foundational models.
  
• Experience with AI-powered developer tools (e.g., GitHub Copilot, Claude) to improve productivity and code quality.
  
• Strong troubleshooting, communication, and documentation skills, with a bias for secure, observable, and maintainable solutions.
  
• Comfortable working in Agile/Scrum environments with cross-functional teams.
  

• 
  
• Experience with context engineering and fine-tuning AI/LLM outputs.
  
• Familiarity with Model Context Protocol (MCP) for LLM agent orchestration.
  
• Knowledge of LLM agent frameworks for building multi-step, reasoning-driven AI systems.
  
• Experience in enterprise-grade security and compliance frameworks.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with our company, please email .

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Looking for a 10+ years of experience in full stack software development, including front-end, back-end, and database technologies in Bothell, WA and its an onsite role.

• Bachelor’s degree in computer science, software engineering, or a related field preferred
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents.
• Strong experience with Cloud platforms like GCP, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, Caching and related technologies
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog or Sonar
• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience in mentoring and providing technical leadership to other engineers.

• Nice to have skills:
• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge

We're building the next generation of AI-powered development tools. Looking for an engineer to:

Develop MCP (Model Context Protocol) servers and integrations

Build agentic AI workflows for GitHub Copilot, Cursor, Devin AI

Create VS Code extensions for AI coding assistants

Master prompt engineering & context optimization

Rapidly research and ship AI developer productivity solutions

Software/Automation & Integration Engineer | Full-Time & Intern | Elite Capital Group | Nashville, TN | On-Site Only

Elite Capital Group ( ) is a Nashville-based real estate development and capital infrastructure company. We build luxury residential and mixed-use properties across Tennessee and the Southeast, and we develop energy-powered land for data center operators. We run lean, move fast, and build systems that scale.

We're looking for a motivated Automation & Integration Engineer — full-time or intern — with a background in software engineering or coding. You'll build, deploy, and maintain bots and system integrations across our tech stack, working directly with leadership to streamline investor relations, deal management, and internal operations.

This is a high-impact, hands-on role. You won't be managing tickets — you'll be building real systems used by real people every day.

What You'll Build

▸ Automated bots hosted on Railway (Python / Node.js) — investor follow-up bots, newsletter bots, deal extractors, and alert systems ▸ API integrations across our core platforms — , Slack, Gmail, Google Drive, Dropbox, and custom webhooks ▸ OAuth flows, REST APIs, and event-driven triggers ▸ board automations, custom columns, and workflow logic ▸ Full-stack internal tools and dashboards for deal pipeline tracking and investor relations ▸ AI-assisted tools for market analysis and data infrastructure ▸ Audits and repairs of existing bots and integrations (crash loops, expired keys, NLP gaps)

What We're Looking For

Required: ▸ Proficiency in Python and/or Node.js ▸ Experience with REST APIs and webhook-based integrations ▸ Familiarity with bot deployment platforms (Railway, Heroku, Render, or similar) ▸ Strong foundation in computer science — algorithms, data structures, OOP ▸ Experience with back-end web development ▸ Strong debugging and problem-solving skills ▸ Ability to work independently in a fast-paced environment ▸ Pursuing or holding a degree in Computer Science, Software Engineering, or related field

Bonus Points: ▸ Experience with API or automation workflows ▸ Slack API / Block Kit experience ▸ Full-stack web development (React, Next.js, or similar) ▸ Familiarity with Claude AI, Claude Code, or MCP (Model Context Protocol) ▸ Git and version control experience ▸ Interest in real estate, energy infrastructure, or fintech

What You Get

▸ Real deliverables that ship into production — not practice projects ▸ Direct access to founders and decision-makers ▸ Exposure across real estate, data centers, and emerging tech ▸ Full-Time: Competitive salary based on experience ▸ Intern: Paid internship with potential for full-time conversion

How to Apply

Send your resume or LinkedIn, a brief description of something you've built (GitHub welcome) to the following email:

State of Maryland

Department of General Services

Maryland Capitol Police

Chief of Police (MCP Colonel)

Open Until Filled

Salary Range: SLE 11: $131,446 - $215,311 (depending on experience and qualifications)

Location: Offices located at MCP Divisions in Baltimore and Annapolis, Maryland

This is a Management Service position and serves at the pleasure of the Appointing Authority (“at-will”).

The Maryland Department of General Services - Maryland Capitol Police is a full-service state law enforcement agency that enforces criminal and traffic laws in and around state-owned and leased

facilities, located across the State of Maryland. The agency's mission is to provide a safe environment for all visitors, employees, and government leaders at state facilities, and to protect people and property as a premier

state law enforcement and security organization.

Here at DGS, we truly Do Great Service… Consider joining our team!

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Reporting directly to the DGS Secretary, this executive leadership position serves as the Chief of Police for the Maryland Capitol Police (MCP) with the rank of Colonel. Job responsibilities will be diverse and challenging, requiring a combination of strong leadership, strategic thinking, and operational expertise. The Chief is required to ensure the effective management and enforcement of all laws and regulations related to criminal and traffic law, building security, infrastructure protection, the safety of the legislative general assembly, protection of the Maryland State Capitol, managing and monitoring demonstrations and rallies on the Capitol grounds, and ensuring resource management within the department.

The Chief and MCP’s leadership team are responsible for developing and implementing MCP’s policies, procedures, and programs to safeguard and protect state-owned and leased facilities, reduce crime, and promote sustainable practices. The Chief is responsible for the overall leadership and management of the department, directly supervising the Deputy Chief who in turn manages three Bureau Chiefs, and for making executive-level decisions regarding the department's operational expenditures. The Chief also collaborates with other law enforcement agencies, government agencies, and community stakeholders to address complex security issues and promote community service, public awareness, and engagement.

The Chief is expected to establish and maintain effective working relationships, attend senior- and executive-level staff meetings, and coordinate with executives from the DGS Office of the Secretary, the Governor’s Office, and other executive levels of State government. The Chief is expected to lead by example, demonstrating integrity, professionalism, and a commitment to upholding the highest standards of ethical conduct. The incumbent will mentor and support staff members, foster a culture of teamwork and accountability, and ensure that resources are utilized efficiently and effectively to achieve the department's goals.

DGS is seeking a highly skilled and experienced leader to join the team as an executive-level member of law enforcement. The ideal candidate will be a strategic thinker, visionary leader, and effective communicator with a proven track record of managing and overseeing complex and diverse law enforcement operations at an executive level.

Responsibilities include:

• Developing and implementing strategic plans, policies, and procedures to ensure effective law enforcement operations, and providing leadership and guidance to department heads and staff members to achieve organizational goals and objectives.
• Overseeing the allocation of resources, budget management, and financial planning to support law enforcement activities.
• Collaborating with external stakeholders, government agencies, and community organizations to enhance public safety initiatives.
• Monitoring and evaluating the department’s overall performance, identifying areas for improvement, and working with MCP’s leadership team to implement corrective actions as needed.
• Ensuring compliance with local, state, and federal laws, rules, regulations, and standards for law enforcement agencies.
• Representing DGS at public events, meetings, and hearings to communicate critical messages and foster positive community relations.
• Staying informed about emerging trends, technologies, and best practices in law enforcement to drive innovation and continuous improvement.
• Handling sensitive and critical situations with professionalism, integrity, and confidentiality; and other duties as assigned.
• Developing and implementing comprehensive plans to manage public events, including demonstrations and protests, in accordance with all applicable laws, rules, and regulations.

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Preferred Qualifications:

• Bachelor’s degree from an accredited college or university with major coursework in law enforcement, criminal justice, criminology, or a related field in law enforcement, public administration, or a related field of study. (Executive leadership training to include FBINA, SMIP, FBI LEEDA, and Northwestern School of Police and Command may be considered in place of a Bachelor’s degree.)
• Ten (10) years of professional experience in law enforcement, with a minimum of five (5) years of this experience at a command level position, to include experience at the rank of an assistant or deputy police chief.
• Demonstrated track record of effective leadership, innovation, and collaboration within law enforcement, along with excellent interpersonal, communication, and conflict-resolution skills.
• Ability to work effectively in a geographically diverse and multicultural community.
• Must have a valid driver's license, with a good driving record (driving record will be verified to confirm eligibility for hire during the background check process).
• Current Police Certification issued by the Maryland Police and Correctional Training Commission (MPCTC).
• Exceptional oral and written communication and interpersonal skills to interact with diverse stakeholders, including other law enforcement agencies, government officials, and the public.
• Ability to make sound judgments and decision-making in intense and high-pressure situations.
• Ability to multitask and work independently in a fast-paced, high-pressure, and high-demand environment.
• Proficiency in using technology and law enforcement databases.
• Familiarity with budgeting, resource allocation, and strategic planning processes.
• Ability to effectively lead a highly diverse team across multiple geographic locations.
• Ability to work varying shifts and hours, including nights, holidays, and weekends, on an as-needed basis.
• Availability to respond to emergencies and urgent matters 24 hours a day and 7 days a week.

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Limitations on Selection:

1. This position is only open to those who have successfully graduated from a recognized police training academy or equivalent law enforcement training. Proof of said education/training is required prior to hire.

2. A background check will need to be completed and passed to be eligible for hire.

Special Requirements:

1. Selection standards for Police Officer certification are established by the Maryland Police and Correctional Training Commission per Public Safety Article, Section 3-207, Annotated Code of Maryland. These selection criteria are listed in detail in the Code of Maryland Regulations 12.04.01.04 and include the following:

• U.S. Citizenship
• Must be at least 21 years of age
• Satisfactory background investigation, including a check of criminal history
• Oral interview
• Physical examination
• Possession of a valid Maryland state driver's license

2. Employees in this classification are subject to call-in and, therefore, will be required to provide the employer with a phone number where they can be reached after hours and during nights, holidays, and weekends.

3. Employees in this classification are required to bear firearms and to demonstrate practical knowledge and proficiency in the safe use and care of firearms periodically as required by the Maryland Police and Correctional Training Commission.

4. Employees in this classification are subject to substance abuse testing per Code of Maryland Regulations 17.04.09, Testing for Illegal Use of Drugs.

5. Must meet the physical fitness standards required for law enforcement officers, including passing a physical fitness test, the ability to work in various outdoor environments and adverse weather conditions, and willingness to work irregular hours, including nights, weekends, and holidays.

Benefits:

The State of Maryland offers a generous benefits package that includes:

• Tuition reimbursement for those who qualify
• Free mass transit in Baltimore & Annapolis
• Generous paid leave that increases with years of service
• Paid holidays
• Health coverage with low out-of-pocket costs
• Employee & employer contributory pension plan

Click on the link below for more information.

STATE OF MARYLAND BENEFITS

TO APPLY:

Interested applicants should e-mail a resume and cover letter to – include “MCP Chief” in the subject line of the e-mail.

For questions, call our HR Office at 41

For more information about DGS, please visit: is an Equal Opportunity Employer

• 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.