Technical Lead

e&e IT Consulting Services, Inc.; Harrisburg (Dauphin County); On-site; USD 130,000 - 170,000; Full time

Job summary

e&e IT Consulting Services, Inc. seeks a Technical Lead for an onsite contract in Harrisburg, PA. You will provide technical leadership, ownership of architecture, and hands-on software delivery for complex enterprise systems with AI-enabled capabilities.

You will guide distributed engineering teams, establish coding standards, and ensure security, performance, and reliability across platforms while remaining deeply involved in coding and reviews.

Qualifications

• Extensive software engineering experience with hands‑on development.
• Experience owning architecture of complex production systems for scalable maintenance.
• Strong expertise in .NET/C#, React, and cloud engineering (Azure).
• Relational DB skills with PostgreSQL/SQL Server; Python AI experience helpful.
• Proven CI/CD, IaC, automated quality gates, and security practices.
• Direct production experience with AI-enabled agentic applications.

Responsibilities

• Own end-to-end technical architecture for enterprise platforms and services.
• Define architectural decisions and scalable patterns for distributed teams.
• Remain hands-on with development and lead challenging code work.
• Enforce engineering standards via automated quality controls and reviews.
• Provide technical leadership and onboarding for contracted teams.
• Design and operate AI-enabled agentic systems, with tool interfaces and verification.
• Develop multi-step AI workflows with durable state and human gates.
• Establish model selection, data handling, and cost controls.
• Define acceptance criteria and automated evidence for deployments.
• Develop evaluation frameworks for reliability and cost per task.
• Collaborate with security, data, and infrastructure teams on integrations.

Skills

Leadership

Hands-on coding

Architectural design

Communication

Security & threat modeling

Cloud architecture

CI/CD

AI/ML knowledge

Tools

.NET & C#

React

Azure

PostgreSQL/SQL Server

Python (AI)

GitHub Actions

Terraform / IaC

MCP or similar interoperability

Job description

e&e is seeking a Technical Lead for an onsite contract opportunity in Harrisburg, PA!

We are seeking an experienced Technical Lead to provide overall technical leadership, architecture ownership, and engineering direction for a complex enterprise technology environment. This is a highly hands‑on leadership position requiring a senior engineer who has progressed into architecture and technical leadership while remaining actively involved in software development.

The Technical Lead will own the end‑to‑end architecture, establish and enforce engineering standards, guide distributed and contracted engineering teams, and ensure that solutions meet rigorous quality, security, performance, and operational requirements. A major focus of the position is the design and delivery of production AI‑enabled and agentic systems, including agent harnesses, multi‑step workflows, context and tool engineering, durable state, evaluation, and verification. The role will also serve as a senior technical partner to client engineering, infrastructure, data, and security teams.

Key Responsibilities

• Own the end‑to‑end technical architecture for enterprise platforms, applications, services, integrations, and supporting infrastructure.
• Define architectural decisions, document technical trade‑offs, and establish scalable patterns that can be effectively maintained by distributed and rotating engineering teams.
• Remain hands‑on with development by writing and reviewing code, creating prototypes and reference implementations, and leading the most technically challenging portions of projects.
• Establish and enforce engineering standards through automated quality controls, including builds, testing, code coverage, static analysis, dependency reviews, secret scanning, and pull‑request approvals.
• Provide technical leadership, design guidance, code reviews, and onboarding for contracted and distributed engineering teams.
• Design, build, and operate production AI‑enabled and agentic systems, including agent harnesses, goals, loops, context management, tool interfaces, and verification mechanisms.
• Design multi‑step AI workflows using explicit and inspectable graphs with durable state, checkpointing, retry and recovery capabilities, defined stopping conditions, and human approval gates.
• Develop and maintain effective context engineering, retrieval, embedding, vector search, structured‑output, tool/function calling, and model integration strategies.
• Establish model‑selection and data‑handling standards based on workload requirements, security, cost, latency, reliability, and contractual constraints.
• Define clear acceptance criteria and verification standards before development begins and ensure completion claims are supported by measurable, automated evidence.
• Develop evaluation frameworks for AI systems that measure success rates, human intervention, reliability, and cost per completed task.
• Partner with engineering, infrastructure, data, and security teams on integrations, data flows, environments, deployment processes, and incident response.
• Lead security and privacy design for externally accessible systems and sensitive data, including authentication, authorization, least privilege, identity, credential management, and threat modeling.
• Address AI‑specific security concerns such as prompt injection, untrusted inputs, privileged actions, and environments executing model‑generated code.
• Own non‑functional requirements including application performance, availability, scalability, operability, reliability, and operating costs.
• Provide senior engineering support during deployments, upgrades, production incidents, and other periods of significant operational change.
• Communicate technical decisions, architecture recommendations, risks, and incident findings clearly to both technical and non‑technical stakeholders.
• Identify reusable architectural patterns, AI harnesses, tools, and engineering components that can be leveraged across future initiatives.

Requirements

• Extensive professional software engineering experience with a strong hands‑on background in building, deploying, and supporting production applications.
• Demonstrated experience owning the architecture of complex production systems and making architectural decisions with long‑term scalability and maintainability in mind.
• Strong expertise in .NET and C#, along with working knowledge of React and modern front‑end development.
• Strong relational database and data‑modeling experience with PostgreSQL and/or SQL Server.
• Python development experience within AI, machine learning, or related solutions.
• Strong cloud engineering experience with Microsoft Azure or a comparable enterprise cloud platform, including identity, networking, containerized workloads, capacity, and cost management.
• Experience with CI/CD, automated quality gates, GitHub Actions or equivalent technologies, and Infrastructure as Code.
• Direct production experience designing and building AI‑enabled and agentic applications.
• Hands‑on experience with agent harnesses, loop engineering, context engineering, prompt design, retrieval strategies, structured outputs, and tool/function interfaces.
• Experience with agent/tool interoperability technologies such as Model Context Protocol (MCP) or comparable approaches.
• Experience developing multi‑step agentic workflows using explicit graphs, durable state, checkpointing, retry mechanisms, and human approval processes.
• Strong understanding of AI evaluation and verification practices, including deterministic validation, automated evaluation, observability, and human review.
• Strong software security background, including threat modeling, authentication, authorization, identity management, secrets management, and data protection.
• Understanding of AI‑specific security risks and appropriate controls for production agentic systems.
• Proven ability to establish and enforce engineering standards across distributed, contracted, or cross‑functional development teams.
• Strong technical leadership and client‑facing communication skills, with the ability to explain complex technical decisions to both technical and business stakeholders.
• Ability to document architecture decisions, designs, technical findings, and incident outcomes clearly and thoroughly.
• Must be authorized to work in the United States.

Preferred Qualifications

• Experience within K–12 education, virtual education, or another environment involving highly sensitive or regulated data.
• Experience integrating learning management, student information, identity, reporting, or other enterprise platforms.
• Knowledge of student‑data privacy requirements, including FERPA and COPPA.
• Experience implementing MCP servers/clients or similar AI tool interoperability solutions.
• Experience with evaluation, tracing, monitoring, and observability platforms for AI/model‑based applications.
• Experience leading distributed engineering and vendor teams across multiple time zones.
• Previous consulting or client‑facing technical leadership experience.
• Relevant cloud or architecture certifications, such as Microsoft Certified: Azure Solutions Architect Expert.