Topology Optimization (TO) is a well-established computational method used to determine the optimal material distribution within a predefined design domain. Although the method has been known since the 1980s, it was not widely adopted in practice for several decades. This limited adoption was primarily due to the geometric complexity of the structures produced by TO, their high sensitivity to specific loading conditions, and the fact that such geometries were difficult or even impossible to fabricate using conventional subtractive manufacturing techniques. In recent years, however, this manufacturing limitation has been significantly mitigated. The primary driver of this transformation has been the rapid advancement of Additive Manufacturing (AM) technologies, commonly referred to as 3D printing. The development of new AM techniques has enabled the fabrication of highly complex geometries, regardless of structural intricacy. In parallel, the cost of producing such structures via AM has decreased considerably, making large-scale application both feasible and economically viable. In the present study, a functionally graded lattice structure was generated based on loading zones derived from a Finite Element Analysis (FEA). The FEA was performed on a steel cantilever beam model. The analysis revealed five distinct stress zones along the length of the structure. In each zone, the average stress values were calculated and subsequently used as input for the topology optimization study.