Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

At Bloomberg Industry Group, our mission is simple: solve our customers' biggest problems with technical solutions to manage, and grow there businesses. Every solution we build exists to tackle the challenges that matter most to our customers who depend on us; performance sensitive, computation heavy products at scale, where every millisecond translates into customer impact.

We're looking for a Technical Architect Lead to own the vision across our Fixed Assets Product line and lead a team of engineers obsessed with solving hard problems. You'll set the technical direction, make bold high-impact calls, mentor engineers who raise the bar for everyone around them, and lead the charge on Generative AI; bringing the tooling that transforms how we design, build, test, and ship, so your teams deliver customer solutions dramatically faster.

No ivory-tower architects here. You'll live in the code, tackle the hardest problems alongside your team, and ground every decision in real constraints, cost, and the value it creates for customers. If you want your fingerprints on the products that solve enterprise customers' biggest problems at scale; this is where you do it.

Primary Responsibilities:

• Provide hands on technical leadership and guidance, influencing engineering teams on design best practices, solution trade-offs, and implementation strategies.

• Set end-to-end technical direction, which includes technology choices, architectural patterns, and infrastructure strategy.

• Lead and develop people. Manage, mentor, and grow a team of engineers; conduct 1:1s, support career development, set expectations, and foster a culture of technical excellence and ownership.

• Cultivate a culture of ownership, experimentation, continuous improvement, and AI-augmented engineering.

• Lead the modernization of legacy applications and data platforms into a cloud native AWS environment.

• Integrate AI-assisted development practices into engineering workflows, including tools like Claude Code, GitHub Copilot, or similar.

• Promote AI-driven automation such as test generation, code refactoring, dependency analysis, and large-scale codebase exploration.

• Partner broadly with product, engineering leadership, and stakeholders to align technical delivery with business objectives, and to ensure technologies are deployed and utilized appropriately across INDG's domains.

Job Requirements:

• Bachelor’s degree in computer science, information science, software engineering, and technical writing or equivalent experience.

• 5 years of experience in software development or commensurate skills

• Hands-on experience managing and developing high-performing engineering teams.

• Proficient with C#/.NET, building distributed, scalable systems in production environments.

• Full-stack expertise, including React, TypeScript, Node.js, and modern web application frameworks.

• Strong AWS background with serverless, event-driven, and managed-services expertise.

• Extensive background in API design and integration, championing API-first development.

• A practitioner who is an evangelist for AI-Native Software Development that has incorporated it into their workflow to accelerate productivity, with real examples of the impact.

• Strong understanding of architectural trade-offs, system complexity, and cost optimization in cloud environments.

• Demonstrated experience with modern architectures: Microservices, SOA, Event-Driven, Micro-frontend, CI/CD, and Infrastructure as Code.

• Proven track record of working across the full software development lifecycle, including design patterns, code reviews, testing, release management, and operations.

• Experience leading large-scale modernization or cloud-transformation programs is a plus.

Compensation Range:

$160,000.00-$200,000.00 Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.

Equal Opportunity

Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (“Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics (“Discrimination”).