Lead AI Software Engineer - 604
dsmh consultingOak Park (IL)
Lead AI Software Engineer - 604
Posted yesterday
dsmh consultingOak Park (IL)
SENIORITY
Lead
About the role
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.
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