Job description

Business Unit: Adree Function: Principal Software Engineer (AI - R&D) Level: Senior Job location: HQ About The Job Adree is looking for a Senior Principal Software Engineer (AI - R&D) to lead our innovation initiatives and drive high-impact pre-sales strategies by leveraging deep technical, research, and analytical expertise to articulate the value of advanced artificial intelligence and digital solutions.
In this role, you will act as a strategic technical leader, working closely with executive stakeholders and clients to navigate complex business challenges and clearly demonstrate how cutting-edge AI architectures and enterprise prototypes address their strategic needs.
You will be responsible for bridging the gap between ambiguous, bleeding-edge product concepts and elite technical execution, orchestrating continuous experimentation across the organization.
By blending master-level software engineering, advanced machine learning exploration, and high-velocity prototyping, you will ensure Adree pioneers industry-leading technological shifts while establishing highly scalable, measurable proof-of-concepts.
Key Responsibilities: Engage with enterprise clients and executive stakeholders to gather complex requirements and define high-level digital transformation and R&D strategies Deliver authoritative technical presentations, executive deep dives, and reusable demo frameworks showcasing next-generation AI models and platform capabilities Support pre-sales and business development teams in structuring technical proposals, ensuring definitive feasibility validation and architectural alignment with client needs Provide elite technical insights and AI/ML architectural expertise throughout the sales and discovery processes to drive high-stakes customer engagement Collaborate with and guide cross-functional leadership (architecture, product management, and engineering) to translate abstract ideas into robust technical roadmaps, risk matrices, and architectural trade-offs Stay current with global industry trends, emerging technologies, market shifts, and vendor tools to strategically position Adree's core solution stack Conduct advanced workshops, technology validation sessions, and complex architecture spikes to govern and expand a centralized, enterprise-grade AI knowledge base Participate in elite industry trade shows, vendor evaluation pilots, and marketing events, acting as the primary technical representative for Adree's advanced AI and R&D capabilities Education Bachelor’s, Master’s, or Ph.
D. degree in Computer Science, Data Science, Software Engineering, or a highly technical quantitative field.
Experience Extensive, proven track record in principal or lead software engineering roles, with deep experience operating within rapid prototyping or applied corporate R&D environments.
Demonstrated success owning enterprise R&D backlogs, executing deep architectural spikes, and scaling abstract concepts into production-ready foundational frameworks.
Substantial experience steering high-level pre-sales functions, client-facing technical discovery, and delivering data-driven technical recommendations to c-suite leadership.
Skills & Competencies (Technical & Analytical + Soft) Master-level software engineering background with mandatory, deep proficiency across the .
NET enterprise ecosystem.
Advanced expertise in Python programming, specifically tailored to enterprise AI/ML framework implementations and model fine-tuning.
Comprehensive understanding of foundational and generative AI/ML concepts, modern vibe coding practices, and AI-assisted development paradigms at scale.
Strategic familiarity with enterprise low-code platforms and rapid application development governance.
Elite analytical skills to design global vendor assessment matrices, benchmarks, and highly measurable data-driven POC metrics.
Superior leadership, technical mentorship capabilities, an experimental mindset, and exceptional communication skills to articulate technical trade-offs to senior leadership.
Experience (summary) Enterprise R&D backlog ownership, strategic architecture spikes, and principal prototyping Advanced AI/ML model research, evaluation framework design, and deployment orchestration Strategic customer-facing POC design and reusable corporate demo framework engineering Enterprise pre-sales technical leadership and architectural feasibility validation Global vendor scouting, tool benchmarking, and infrastructure comparison matrices Core internal platform, SDK, accelerator, and engineering automation framework development Skills & Competencies (summary) Enterprise .
NET architecture & distributed software engineering principles Python programming & advanced AI/ML tool integrations AI-assisted development paradigms & vibe coding governance Low-code platform ecosystem exposure & rapid setup strategy Executive data-driven decision reporting & technical recommendation delivery Stakeholder relationship management & strategic alignment Prioritization, engineering mentorship, and technical leadership Travel for client-facing activities