Lead AI Software Engineer - 604

DSM-H Consulting; Chicago (IL); Hybride; USD 140 000 - 190 000; Plein temps

Résumé du poste

DSM-H Consulting in the United States seeks a Lead Software Engineer in the Emerging Technology group to design, build, pilot, and scale next‑gen software solutions applying emerging technologies to high‑value business problems.

The role combines deep software engineering with practical innovation, translating exploratory concepts into production-ready capabilities while mentoring engineers and collaborating with product, security, and operations teams.

Qualifications

• Bachelor’s degree or equivalent practical experience in tech.
• Progressive software engineering experience across APIs, distributed systems, platforms, or cloud-native services.
• Ability to lead work across the full SDLC including architecture, design, coding and testing.
• Proficiency in modern programming languages (e.g., Java, Python, C#) and related development tools.

Responsabilités

• Lead architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities.
• Evaluate, prototype, and apply emerging technologies such as generative AI, agentic workflows, retrieval-augmented generation, cloud-native services, APIs, automation, and data-driven patterns.
• Translate business opportunities, product goals, and technical requirements into scalable software designs, roadmaps, and implementation plans.
• Mentor engineers, provide technical direction, facilitate design reviews, and promote a culture of experimentation and engineering excellence.
• Collaborate with product managers, architects, data scientists, cybersecurity, infrastructure, UX, and stakeholders to deliver aligned solutions.
• Define and implement technical evaluation methods, including proof-of-concept criteria, performance measures, quality gates, automated testing, monitoring, and production readiness reviews.
• Identify technical risks, dependencies, integration needs, security considerations, and operational constraints early in the lifecycle and propose mitigations.

Connaissances

Technical leadership

Software architecture

Emerging technologies

Cloud-native services

APIs and integration

CI/CD and DevOps

Mentoring engineers

Cross-functional collaboration

Formation

Bachelor’s degree in Computer Science or related field

Outils

Kubernetes

Docker

Cloud platforms (AWS/Azure/GCP)

Description du poste

Open to Peoria, IL and Irving, TX as well

Position’s Contributions to Work Group

• The Lead Software Engineer in the Emerging Technology group is a hands-on technical leader responsible for designing, building, piloting, and scaling next-generation software solutions that apply emerging technologies to high-value business problems.
• This role combines deep software engineering expertise with practical innovation, helping translate exploratory concepts into secure, reliable, maintainable, and production-ready capabilities

Typical task breakdown:

• - Lead the architecture, design, development and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities.
• - Evaluate, prototype, and apply emerging technologies such as generative AI, agentic workflows, retrieval-augmented generation, cloud-native services, APIs, automation, and data-driven application patterns.
• - Translate business opportunities, product goals, and technical requirements into scalable software designs, solution patterns, technical roadmaps, and implementation plans.
• - Mentor engineers, provide technical direction, facilitate design reviews, and promote a culture of experimentation, learning, engineering excellence, and responsible technology adoption.
• - Collaborate with product managers, architects, data scientists, cybersecurity, infrastructure, UX, and business stakeholders to deliver solutions aligned to organizational goals and risk expectations.
• - Define and implement technical evaluation methods, including proof-of-concept success criteria, model or system performance measures, quality gates, automated testing, monitoring, and production readiness reviews.
• - Identify technical risks, dependencies, integration needs, security considerations, and operational constraints early in the solution lifecycle and recommend practical mitigation strategies.

Interaction with team:

• - Team consists of roughly 10 folks in US and 7 folks offshore.
• - ¾ in the Chicago area, rest in the US
• - Large team, there are 2 PODs leads (technical lead/mentor others) , are responsible for a piece of portfolio at any given time. Helping to shape work items at a higher level. They also get to work on the challenging parts as well.

Work environment

2-3 days a week in office and for the other offices, it is as needed basis. A full return could happen at any point.

Education & Experience Required:

• - Bachelor’s degree (technology related field) with 8+ years exp in this capacity
• - No degree then 10_ years in this capacity.

Required Technical Skills

(Required)

Decision Making and Critical Thinking: Knowledge of the decision-making - process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.

Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.

Software Development Life Cycle: Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.

Software Integration Engineering: Knowledge of software integration processes and functions; ability to design, develop and maintain interfaces and linkage to alternative platforms and software packages.

Software Product Design/Architecture: Knowledge of software product design; ability to convert market requirements into the software product design.

Software Product Technical Knowledge: Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products..

Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.

Considerations For Top Candidates:

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related technical discipline; equivalent practical experience may be considered.
• Progressive professional experience in software engineering, including hands-on development of complex applications, distributed systems, APIs, platforms, or cloud-native services.
• Demonstrated ability to lead technical work across the full software development lifecycle, including requirements analysis, architecture, design, coding, testing, deployment.
• Strong proficiency in one or more modern programming languages such as , or similar languages.
• Experience designing scalable, secure, observable, and maintainable software using modern architecture patterns, APIs, automated testing, CI/CD, and DevOps practices.
• Working knowledge of cloud platforms, containerization, infrastructure automation, integration patterns, and production support practices.
• Ability to communicate complex technical topics clearly to engineering, product, architecture, security, and business stakeholders.
• Demonstrated analytical, problem-solving, and decision-making skills in ambiguous or rapidly evolving technical environments.

Preferred Qualifications

• Experience building or integrating AI, machine learning, generative AI, large language model, agentic, retrieval-augmented generation, vector database, or prompt-based solutions.
• Experience taking emerging technology concepts from proof of concept through pilot, production hardening, governance review, adoption, and operational support.
• Familiarity with responsible AI practices, model evaluation, guardrails, data privacy, cybersecurity, compliance, and enterprise risk management considerations.
• Experience with modern cloud services, serverless architectures, Kubernetes, microservices, event-driven architecture, API management, observability platforms, and infrastructure-as-code.
• Experience partnering with product, design, data, security, architecture, and business teams to identify high-impact use cases and deliver measurable business outcomes.
• Proven ability to mentor engineers, influence technical direction without direct authority, and establish reusable engineering standards, patterns, frameworks, or accelerators.
• Advanced degree, cloud certification, AI/ML certification, software architecture certification, or demonstrated contribution to technical communities, open-source projects, patents, publications, or internal innovation initiatives.